A year of DAX Copilot: Healthcare innovation that refocuses on the clinician-patient connection

In 2012, a child’s drawing of her appointment with a physician was published in the Journal of the American Medical Association (JAMA). In the brightly colored sketch, the girl is sitting on the exam table accompanied by her mother and siblings. To those of us working in healthcare, her doctor is the most notable part of the image. He is sitting at his desk, typing on the computer — with his back to the patient.

This drawing, published alongside an article titled “The Cost of Technology,” is emblematic of the unintended consequences of healthcare innovation. With more tools for physicians to use and greater demands on their time, technology can easily become a barrier between the clinician and the patient. For example, in 2023 approximately 53% of physicians surveyed by Medscape reported feeling burned out, and 23% reported feeling depressed. Long working hours, bureaucratic demands and loss of work-life balance due to administrative requirements are leading causes. Our mission has always been to help clinicians turn their chairs around by providing the support they need to fully focus their attention on delivering care.

Fast-forward to today, and we’ve translated that goal into reality. After establishing the ambient technology category, we introduced DAX Copilot, the first generative AI voice-enabled solution, which has been generally available for one year, and we’re seeing remarkable momentum. Part of a proven and extensible platform, DAX Copilot leverages health systems’ existing investments in the trusted family of Dragon Medical solutions, which is used by more than 600,000 clinicians worldwide.

DAX Copilot combines proven conversational and ambient AI with generative AI to automatically convert multiparty conversations into specialty-specific standardized draft clinical summaries that integrate with existing workflows. DAX Copilot was the first ambient solution to be integrated into the Epic electronic health record (EHR) workflow and allows clinicians to seamlessly document patient visits directly within the EHR. Across the country, more than 400 organizations have already embraced its revolutionary capabilities, streamlining administrative tasks and lightening clinicians’ documentation workloads.

This transformative year has highlighted many of the ways we’re helping empower healthcare teams today and bringing joy back to practicing medicine for thousands of clinicians.

Improving Access to Care — and Enhancing Documentation Quality

DAX Copilot is helping Northwestern Medicine in Chicago improve patient access to care, with physicians using the solution in at least 50% of patient encounters and able to see an average of 11.3 additional patients per month. DAX Copilot users at Northwestern Medicine also report spending an average of 24% less time on notes and a 17% decrease in ‘pajama time,’ working on administrative tasks late into the night.

“Northwestern Medicine is committed to providing a superior work environment that promotes well-being, and implementing DAX Copilot will allow our physicians to spend more quality time with our patients, focusing on their needs rather than on paperwork and data entry,” says Dr. Gaurava Agarwal, chief wellness executive, Northwestern Medicine.

Overlake Medical Center & Clinics in Bellevue, Washington, deployed DAX Copilot to help reduce after-hours documentation time and equip its clinicians with tools to manage escalating demands. A pilot with 30 Overlake clinicians saw a significant reduction in time spent on notes outside of scheduled hours. Users also reported other important benefits: 81% said DAX Copilot had reduced their cognitive burden and 77% said the solution had improved the quality of their documentation.

At Atrium Health, “DAX Copilot is enabling a better clinician experience,” says Dr. Matthew Anderson, senior medical director of primary care at Atrium Health. “Most of our surveyed users are reporting a positive impact on their day-to-day schedule, being able to increase the number of patients they are able to see and even spending more time with them.”

Enhancing Clinician Well-being

Atrium Health isn’t alone in finding that the time saved on documentation with DAX Copilot is having a positive impact on clinicians’ quality of life. “I finally have weekends back,” says Dr. Christy Chan, a family medicine physician at Overlake. “I used to always have to worry that there was something I had to do — get back onto the EMR, log back in — but I actually have some weekends back.”

Clinicians at Novant Health are experiencing similar benefits. “DAX Copilot has done an amazing thing for the physicians and clinicians who are currently using it,” says Dr. Aram Alexanian, a family physician at Novant Health. “When you hear a comment like ‘I am now able to do things with my daughter in the evenings and weekends that I couldn’t do before,’ nothing satisfies us more than knowing the impact DAX is having on our clinicians.”

DAX Copilot can accurately identify different voices in the room during pediatric visits, differentiating between parents and children to accurately capture the patient exam note for the physician to review and approve.

Community Health Network places a major focus on clinician well-being and implementing DAX Copilot has had a major impact on its clinicians’ ability to close notes before they leave for the day. “Since we have implemented DAX Copilot, I have not left clinic with an open note,” says Dr. Patrick McGill, chief transformation officer for Community Health Network. “We have seen improved access, improved numbers of patients, but overall, it’s really the clinician satisfaction that we’ve seen. In one word, DAX Copilot is transformative. It transforms how we’re able to deliver care and how we’re able to document it. It also transforms the patient experience.”

“DAX Copilot has made my professional life easier. My patients have also benefited from my using Nuance DAX during our appointments. I can be right there with the patient and not furiously writing notes. I cannot thank you enough,” said Anita M. Kelsey, M.D., Duke Health.

Transforming the Patient Experience 

Dr. Dominick Lanzo, an orthopedic surgeon at Greater Baltimore Medical Center, agrees. “Once I introduced the DAX Copilot program, it completely transformed the patient experience, and it’s turned out to be incredibly accurate with regards to the history of present illness and the physical exam,” he says. “It’s made my practice much more efficient. I can see more patients, my notes are more accurate, and they’re done in a timely fashion by the end of the afternoon.”

For Dr. Alison Pomykala, an internal medicine specialist at Baptist Medical Group, the integration of DAX Copilot with the Epic EHR is particularly valuable. “The thing I like most about DAX Copilot embedded in the Epic workflow is I’m able to focus more on the patient and I’m spending less time in the exam room typing on the computer,” she says.

“I think the interface is wonderful with Epic. It has been great to see the notes coming up basically in real time on the Epic system. That’s also helped with other things: where we needed to generate a note quickly for referrals, for insurance pre-certifications, for imaging studies, or to have a complete note ready for a patient that we’re sending to the hospital.”

“At our academic health system, integrating DAX Copilot has revolutionized patient care,” says Dr. Anthony Mazzarelli, co-president and CEO at Cooper University Health Care. “By automating clinical documentation through ambient voice technology, it has significantly reduced administrative workloads. This allows our physicians to focus on real-time patient interactions, leading to better care outcomes and increased job satisfaction. DAX Copilot has not only improved efficiency but has also empowered our team to spend more time where it matters most — caring for patients.”

It’s a privilege to see this industry-leading solution make a meaningful difference for the clinicians who are already on board — but the work never stops. The Microsoft healthcare team is determined to continue solving some of the industry’s most complex challenges, and harnessing the power and potential of AI is how we’ll achieve that. We will continue to be leaders in innovation, collaborating across our ecosystem of incredible customers, partners and Microsoft researchers to bring real impact to clinical settings.

DAX Copilot is an innovative solution that goes beyond documentation, offering unique features such as orders, problem-based charting and pre-charting capabilities. For example, recent updates to DAX Copilot include a robust set of features, such as the ability to customize documentation style and formatting, as well as automatically create referral letters, diagnostic evidence, after-visit summaries and encounter summaries. The solution also now offers AI coaching to help users improve the quality and completeness of their notes. Also, the new Summarized Evidence capability offers a comprehensive and sophisticated approach that helps clinicians validate and trust the note output by combining insights that go beyond evidence linking, helping clinicians validate the note.

Importantly, when creating technologies that can change the world, Microsoft believes organizations need to ensure that the technology is used responsibly. Microsoft is committed to creating responsible AI by design that is guided by a core set of principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency and accountability.

DAX Copilot is helping restore the human connection at the heart of medicine. We’re excited to drive this solution forward and expand its reach to more clinicians over the coming year and beyond.

Today, the solution can be used across ambulatory specialties, in-office primary care and urgent care, telehealth and emergency medicine. And we are scaling the solution’s availability and capabilities to even more care settings, such as nursing and geographies.

If you’d like to learn how DAX Copilot can help transform healthcare at your organization, please visit: the DAX Copilot website.

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Microsoft Trustworthy AI: Unlocking human potential starts with trust

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As AI advances, we all have a role to play to unlock AI’s positive impact for organizations and communities around the world. That’s why we’re focused on helping customers use and build AI that is trustworthy, meaning AI that is secure, safe and private.

At Microsoft, we have commitments to ensure Trustworthy AI and are building industry-leading supporting technology. Our commitments and capabilities go hand in hand to make sure our customers and developers are protected at every layer.

Building on our commitments, today we are announcing new product capabilities to strengthen the security, safety and privacy of AI systems.

Security. Security is our top priority at Microsoft, and our expanded Secure Future Initiative (SFI) underscores the company-wide commitments and the responsibility we feel to make our customers more secure. This week we announced our first SFI Progress Report, highlighting updates spanning culture, governance, technology and operations. This delivers on our pledge to prioritize security above all else and is guided by three principles: secure by design, secure by default and secure operations. In addition to our first party offerings, Microsoft Defender and Purview, our AI services come with foundational security controls, such as built-in functions to help prevent prompt injections and copyright violations. Building on those, today we’re announcing two new capabilities:

• Evaluations in Azure AI Studio to support proactive risk assessments.
• Microsoft 365 Copilot will provide transparency into web queries to help admins and users better understand how web search enhances the Copilot response. Coming soon.

Our security capabilities are already being used by customers. Cummins, a 105-year-old company known for its engine manufacturing and development of clean energy technologies, turned to Microsoft Purview to strengthen their data security and governance by automating the classification, tagging and labeling of data. EPAM Systems, a software engineering and business consulting company, deployed Microsoft 365 Copilot for 300 users because of the data protection they get from Microsoft. J.T. Sodano, Senior Director of IT, shared that “we were a lot more confident with Copilot for Microsoft 365, compared to other large language models (LLMs), because we know that the same information and data protection policies that we’ve configured in Microsoft Purview apply to Copilot.”

Safety. Inclusive of both security and privacy, Microsoft’s broader Responsible AI principles, established in 2018, continue to guide how we build and deploy AI safely across the company. In practice this means properly building, testing and monitoring systems to avoid undesirable behaviors, such as harmful content, bias, misuse and other unintended risks. Over the years, we have made significant investments in building out the necessary governance structure, policies, tools and processes to uphold these principles and build and deploy AI safely. At Microsoft, we are committed to sharing our learnings on this journey of upholding our Responsible AI principles with our customers. We use our own best practices and learnings to provide people and organizations with capabilities and tools to build AI applications that share the same high standards we strive for.

Today, we are sharing new capabilities to help customers pursue the benefits of AI while mitigating the risks:

• A Correction capability in Microsoft Azure AI Content Safety’s Groundedness detection feature that helps fix hallucination issues in real time before users see them.
• Embedded Content Safety, which allows customers to embed Azure AI Content Safety on devices. This is important for on-device scenarios where cloud connectivity might be intermittent or unavailable.
• New evaluations in Azure AI Studio to help customers assess the quality and relevancy of outputs and how often their AI application outputs protected material.
• Protected Material Detection for Code is now in preview in Azure AI Content Safety to help detect pre-existing content and code. This feature helps developers explore public source code in GitHub repositories, fostering collaboration and transparency, while enabling more informed coding decisions.

It’s amazing to see how customers across industries are already using Microsoft solutions to build more secure and trustworthy AI applications. For example, Unity, a platform for 3D games, used Microsoft Azure OpenAI Service to build Muse Chat, an AI assistant that makes game development easier. Muse Chat uses content-filtering models in Azure AI Content Safety to ensure responsible use of the software. Additionally, ASOS, a UK-based fashion retailer with nearly 900 brand partners, used the same built-in content filters in Azure AI Content Safety to support top-quality interactions through an AI app that helps customers find new looks.

We’re seeing the impact in the education space too. New York City Public Schools partnered with Microsoft to develop a chat system that is safe and appropriate for the education context, which they are now piloting in schools. The South Australia Department for Education similarly brought generative AI into the classroom with EdChat, relying on the same infrastructure to ensure safe use for students and teachers.

Privacy. Data is at the foundation of AI, and Microsoft’s priority is to help ensure customer data is protected and compliant through our long-standing privacy principles, which include user control, transparency and legal and regulatory protections. To build on this, today we’re announcing:

• Confidential inferencing in preview in our Azure OpenAI Service Whisper model, so customers can develop generative AI applications that support verifiable end-to-end privacy. Confidential inferencing ensures that sensitive customer data remains secure and private during the inferencing process, which is when a trained AI model makes predictions or decisions based on new data. This is especially important for highly regulated industries, such as health care, financial services, retail, manufacturing and energy.
• The general availability of Azure Confidential VMs with NVIDIA H100 Tensor Core GPUs, which allow customers to secure data directly on the GPU. This builds on our confidential computing solutions, which ensure customer data stays encrypted and protected in a secure environment so that no one gains access to the information or system without permission.
• Azure OpenAI Data Zones for the EU and U.S. are coming soon and build on the existing data residency provided by Azure OpenAI Service by making it easier to manage the data processing and storage of generative AI applications. This new functionality offers customers the flexibility of scaling generative AI applications across all Azure regions within a geography, while giving them the control of data processing and storage within the EU or U.S.

We’ve seen increasing customer interest in confidential computing and excitement for confidential GPUs, including from application security provider F5, which is using Azure Confidential VMs with NVIDIA H100 Tensor Core GPUs to build advanced AI-powered security solutions, while ensuring confidentiality of the data its models are analyzing. And multinational banking corporation Royal Bank of Canada (RBC) has integrated Azure confidential computing into their own platform to analyze encrypted data while preserving customer privacy. With the general availability of Azure Confidential VMs with NVIDIA H100 Tensor Core GPUs, RBC can now use these advanced AI tools to work more efficiently and develop more powerful AI models.

Achieve more with Trustworthy AI 

We all need and expect AI we can trust. We’ve seen what’s possible when people are empowered to use AI in a trusted way, from enriching employee experiences and reshaping business processes to reinventing customer engagement and reimagining our everyday lives. With new capabilities that improve security, safety and privacy, we continue to enable customers to use and build trustworthy AI solutions that help every person and organization on the planet achieve more. Ultimately, Trustworthy AI encompasses all that we do at Microsoft and it’s essential to our mission as we work to expand opportunity, earn trust, protect fundamental rights and advance sustainability across everything we do.

Related:

Commitments

• Security: Secure Future Initiative  
• Privacy: Trust Center 
• Safety: Responsible AI Principles

Capabilities

• Security: Security for AI
• Privacy: Azure Confidential Computing
• Safety: Azure AI Content Safety

 

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Microsoft names new Executive Vice President and Chief Operations Officer

Satya Nadella, Chairman and CEO, shared the below communication with Microsoft employees this morning. 

As we mark our 50th year, I’ve been reflecting on how we have remained a consequential company decade after decade in an industry where there is no franchise value. And it is because — time and time again when tech paradigms have shifted — we have seized the opportunity to reinvent ourselves. And that’s what we are doing again today in this AI platform shift. 

Carolina Dybeck Happe

To continue thriving as a company, we need to raise the bar on our operational excellence, continually improving security, quality, and delivery to our customers, as well as the rigor with which we operate the business. Building this capability is essential, and I want each of us to take as much pride in exceeding customer expectations in our fundamentals as we do in our product innovation. After all, both are mission critical to our customers and our future.  

In this context, I’m thrilled to share that Carolina Dybeck Happe is joining Microsoft as EVP and Chief Operations Officer. In this newly created role, she will join the senior leadership team (SLT), reporting to me.  

I’ve come to admire Carolina through her work as a global business leader, including most recently her role in leading GE’s historic turnaround. She is recognized for her ability to drive transformational change at scale while delivering improved customer experiences and faster time to value. Carolina will partner with the SLT to help us drive continuous business process improvement across all our organizations and accelerate our company-wide AI transformation, increasing value to customers and partners.  

As part of this transition, the Commerce + Ecosystems organization in Cloud + AI, the Microsoft Digital organization in Experiences + Devices, and the Microsoft Business Operations organization in Finance will move to report to Carolina. These teams are doing mission-critical work for us with high ambition plans on how to empower our partners, customers, and employees with world class technology and experiences. 

I look forward to seeing the progress we will achieve together as we embrace continuous improvement in all we do. 

Please join me in welcoming Carolina to Microsoft.  

Satya

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Microsoft announces the best performing logical qubits on record and will provide priority access to reliable quantum hardware in Azure Quantum

At Microsoft, we’re ushering in a new era of computing on the path to unlocking scientific advantage and tackling some of the world’s most pressing challenges. This is why we’re building Azure Quantum — to create the first platform for reliable quantum computing and achieve the vision of quantum at scale.

In April, we announced we’re entering the next phase for solving meaningful problems with reliable quantum computers by demonstrating the most reliable logical qubits with an error rate 800x better than physical qubits. The main issue with today’s noisy intermediate-scale quantum (NISQ) machines is that their physical qubits are too noisy and error-prone, making the machines impractical for real-world applications. That’s why we must transition to using reliable logical qubits that combine multiple physical qubits together to protect against noise and to maintain coherence for long-running computations.

But quantum computing doesn’t exist in isolation. It requires deep integration with the power of the cloud. We must leverage the best of computing to unlock a new generation of hybrid quantum applications that could solve some of our most pressing challenges — from pioneering more sustainable energy solutions to transforming how we treat disease with the next generation of life-saving therapeutics.

We designed the Azure Quantum compute platform to provide quantum computing across a variety of hardware architectures, enabling the most advanced hybrid quantum applications in the industry — all in a secure, unified and scalable cloud environment — to tackle classically intractable problems. This is our vision for Azure Quantum. Today, we continue to make advances that bring us closer to achieving it with our industry-leading partners, Quantinuum and Atom Computing. With both companies, we want to bring best-in-class solutions to the Azure Quantum platform, and collectively advance and scale resilient quantum capabilities.

In collaboration with Quantinuum, we applied our improved qubit-virtualization system to create and entangle 12 highly reliable logical qubits. This represents the largest number of entangled logical qubits, with the highest fidelity, on record. These results scale logical qubit computation — on ion-trap hardware — within our Azure Quantum compute platform. In addition, advancing toward scalable quantum computing necessitates not only reaching significant hardware milestones, but also proving these improvements can address practical and real-world challenges.

This is why we demonstrated the first end-to-end chemistry simulation that combines reliable logical quantum computation with cloud high-performance computing (HPC) and AI. Today’s announcements would not have been possible without Quantinuum’s leading quantum machines. This paves the way toward practical solutions at the intersection of these technologies, especially in the domains of chemistry, physics and life sciences.

Lastly, as we expand our Azure Quantum compute platform, we are excited to announce that Microsoft and Atom Computing are coming together to ultimately build the world’s most powerful quantum machine. Through this collaboration, we’re bringing a new generation of reliable quantum hardware to customers by integrating and advancing Atom Computing’s neutral-atom hardware into our Azure Quantum compute platform. With it, we are bringing the best-in-class from Microsoft and our partner ecosystem to provide the commercial offering of a reliable quantum machine.

Combining the capabilities of this reliable quantum hardware with our platform for Science, Azure Elements, we are providing a comprehensive discovery suite to achieve scientific quantum advantage.

Creating a new generation of hybrid quantum applications

At Microsoft, we’re pioneering a new computing paradigm by bringing the power of the cloud and AI together with quantum. Our Azure Quantum compute platform enables the seamless execution of quantum applications that leverage hardware across a variety of qubit architectures and chips, while offering integration with cloud HPC and AI. Over this past year, we’ve continued to announce new breakthroughs and collaborations in pursuit of this platform mission, including offering Generative Chemistry and Accelerated DFT and advancing the industry to reliable quantum computing by demonstrating highly reliable logical qubits.

We are bringing these technologies together in a purpose-built cloud platform that leverages the complementary strengths of both AI for large-scale data processing and quantum for complex calculations and unprecedented accuracy. This strong compute foundation offers a secure, unified and scalable hybrid computing environment that enables innovators to develop best-in-class solutions for tackling problems that are difficult or even intractable on classical computers. We are integrating quantum hardware architectures from our ecosystem partners with our quantum control, processing and error correction software — in addition to capabilities for copilot-assisted workflows, developer tools, classical supercomputing and multi-modal AI models. This differentiated computing stack will pave the way for this new generation of hybrid applications. AI co-reasoning will help articulate problems and translate them into workflows, using both classical and scaled quantum tools at the right stages to drive impactful insights in an iterative loop to compress R&D and time-to-solution into days, not years.

Continuing to implement reliable quantum computing with Quantinuum 

Today, in collaboration with Quantinuum, we’re proud to announce the demonstration of the best performing logical qubits on record, achieving the largest number of entangled logical qubits. We created 12 logical qubits by improving and optimizing our qubit-virtualization system for Quantinuum’s 56-physical-qubits H2 machine.

This progress speaks to the world-class error correction expertise at Microsoft. In less than six months, our improved qubit-virtualization system tripled reliable logical qubit counts. Furthermore, when we entangled all 12 logical qubits in a complex state required for ‘deeper’ quantum computation, they exhibited a 22X circuit error rate improvement over the corresponding physical qubits. 

The ability of our systems to triple the number of logical qubits while less than doubling our physical qubits from 30 to 56 physical qubits is a testament to the high fidelities and all-to-all connectivity of our H-Series trapped-ion hardware. Our current H2-1 hardware combined with Microsoft’s qubit-virtualization system is bringing us and our customers fully into Level 2 resilient quantum computing. This powerful collaboration will unlock even greater advancements when combined with the cutting-edge AI and HPC tools delivered through Azure Quantum.

— Rajeeb Hazra, CEO of Quantinuum

With our improved error correction code and qubit-virtualization system, we’ve demonstrated a 22X improvement between physical and logical circuit error rates when entangled.

As we continue to strive toward scientific and industrial breakthroughs with quantum computers, noise remains our biggest barrier. In a previous post, I highlighted how increasing the number of physical qubits alone is not enough to make robust quantum error correction possible. As part of the quantum ecosystem, we must remain focused on improving both logical qubit counts and fidelity to have a solid foundation for producing meaningful results. This will be possible through hardware and software advancements that together enable running longer and more reliable quantum applications. Today’s announcement demonstrates that it is possible to realize these fundamental capabilities on the path to large-scale quantum computing.

A true computing paradigm shift also requires a focus on practical and commercially relevant applications. Earlier, we successfully completed a chemistry simulation in the first end-to-end workflow that combined HPC, AI and logical qubit computation to predict the ground state energy for a specific catalyst problem. This demonstration marked a critical step toward ushering in a new generation of hybrid applications that will become increasingly impactful as quantum technologies scale. Quantum and AI will have the earliest significant impact on scientific discovery, and researchers at Microsoft have demonstrated the breakthrough potential of this integration. This work was only possible thanks to our long-standing and close collaboration with Quantinuum, a company that remains at the forefront of quantum computing.

You can learn more about today’s improved logical qubits and the technical details about this chemistry simulation in our blog Microsoft and Quantinuum create 12 logical qubits and demonstrate a hybrid, end-to-end chemistry simulation.

Announcing a new commercial offering with Atom Computing

Lastly, in collaboration with Atom Computing, we are excited to bring a new generation of reliable quantum hardware to customers. Bringing together Microsoft’s enhanced qubit-virtualization system with Atom Computing’s neutral-atom hardware, we’ve jointly generated logical qubits and are optimizing the system to enable reliable quantum computation. Together, we believe this new commercial offering will be the world’s most powerful quantum machine on record and will scale to scientific advantage and beyond.

Atom Computing’s hardware uniquely combines capabilities essential for expanding quantum error correction, including large numbers of high-fidelity qubits, all-to-all qubit connectivity, long coherence times and mid-circuit measurements with qubit reset and reuse. The company is building 2^nd generation systems with over 1,200 physical qubits and plans to increase the physical qubit count tenfold with each new hardware generation. By applying Microsoft’s state-of-the-art fault-tolerance protocols on a different qubit architecture, our Azure Quantum compute platform can offer a spectrum of best-in-class logical qubits across multiple hardware platforms, providing flexibility and future proofing our customers’ investments.

Microsoft and Atom Computing team up to enhance the Azure Quantum compute platform with neutral-atom hardware and tailored qubit virtualization, enabling a commercial discovery suite with continuous upgrade capabilities for additional logical qubits.

Our collaboration with Atom Computing aims to integrate these capabilities with Azure Elements, our purpose-built cloud platform offering differentiated computing scale, state-of-the-art AI models for chemistry and materials science simulations and Copilot. Our goal is to empower governments and organizations to tackle scientifically and commercially relevant problems with today’s most advanced computational solutions, including designing and predicting properties of chemicals and materials, exploring molecular interactions and simulating complex chemical reactions. Additionally, we want to help galvanize a quantum-ready ecosystem, providing the critical tools necessary for commercial adoption of these technologies that can help build quantum expertise and create new demand for jobs.

We are excited to accelerate Atom Computing’s quantum capabilities with Microsoft as our partner. We believe that this collaboration uniquely positions us to scale and be first to reach scientific quantum advantage. Our neutral-atom technology is an ideal foundation for Microsoft’s leading qubit-virtualization capabilities, and we look forward to enabling fault tolerant, cutting-edge quantum applications for global innovators to use the best platform in the world.

— Ben Bloom, PhD, Founder and CEO of Atom Computing 

Empowering customers with the best of quantum and AI

At Microsoft, we want to enable practitioners to unlock a new generation of applications that harness the complementary strengths of quantum, classical supercomputing and AI, all connected in the Azure cloud.

We remain committed to achieving quantum at scale so we can solve commercially significant problems that are far too complex for classical computers. As a platform company, it’s critical that we continue investing in the quantum ecosystem and collaborating with industry leaders such as Quantinuum, Atom Computing, Photonic and others to advance and scale quantum capabilities. Alongside our industry collaborations, we’re also focused on our own innovation with a topological qubit-based approach.

This approach continues to offer a unique path to scaling up, with fast clock speeds, digital control and more. Furthermore, a topological quantum computer could control over one million physical qubits on a single chip, with the ability to process information faster than other types of qubits. Our Azure Quantum team previously demonstrated the feasibility of this approach, and we look forward to scaling this to the level of quantum supercomputing. 

Azure is the place where all this innovation comes together. For more information about today’s announcements:

1. Read the technical blog Microsoft and Quantinuum create 12 logical qubits and demonstrate a hybrid end-to-end chemistry simulation.
2. Register for the upcoming Microsoft Quantum Innovator Series on how quantum and AI can unlock a new generation of hybrid applications for science.
3. Get the latest news and announcements from Azure Quantum.

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