As technology progresses, a quantum-powered future is an increasingly likely scenario. Business leaders believe that quantum computing will help them tackle new challenges, boost operational effectiveness and accelerate the resolution of complex problems. Explore this report for insights on promising applications for optimization, machine learning and simulation across industries.
Traditional computers use lightning-fast math to solve problems from spreadsheets to artificial intelligence, whereas quantum computers derive their power from the counterintuitive physics of atoms. Since they perform calculations differently, quantum computers may be able to solve currently unsolvable problems, while potentially being unable to solve "simple" problems. They are not “super” supercomputers, but something entirely new.
Quantum computing is expected to significantly impact areas such as:
There are many ways to build a quantum computer. Each approach would bring different trade-offs, considerations, and potential benefits for a quantum-powered future. The primary approaches being explored today include superconducting qubits, silicon dots, trapped ions, neutral atoms, photonic systems, topological qubits and quantum annealers.
May 14, 2026 · via deloitte.com
Brief At a Glance - IBM moved the AI conversation from model adoption to operating model redesign, and from AI-enabled business to AI-first. - Product launches took center stage, including Sovereign Core and IBM Bob, among others. - Sovereignty was a major theme, with IBM highlighting its hybrid footprint and global posture as differentiators. - Quantum breakthroughs across medical fields and other industries continue to validate the revolutionary potential, and a quantum-and-AI flywheel is beginning to take shape. A year ago at Think, the conversation was about getting from AI prototype to production. This year, the bar moved further. IBM’s stance at Think was that value creation from AI will accrue to organizations that rebuild their operating model around AI, not those that run point workflow optimizations. IBM’s own client zero story, with $4.5 billion in productivity unlocked over three years, was cited throughout Think as a natural proof point. The human side mattered just as much. Eighty-three percent of CEOs in IBM’s 2026 survey said AI success depends more on adoption than on the technology itself, with executive panelists from IBM clients echoing the sentiments live. Bain shares this view that AI adoption—not tooling—limits AI ROI, finding that AI leaders with scale adoption deliver 10% to 25% EBITDA gains. “The enterprises pulling ahead are not deploying more AI—they’re redesigning how their business operates.” The agentic operating layer is taking shape Rob Thomas, IBM’s senior vice president of software and chief commercial officer, organized IBM’s operating model argument around four imperatives: intelligence, action, operations, and trust, supported by marquee launches like IBM Bob (AI coding assistance), Concert (agentic IT operations platform), and Confluent (real-time data streaming). In addition, IBM positioned Apptio’s role in the AI operating model as making AI and broader costs easier to see across the tech stack
May 13, 2026 · via bain.com
Key Points IonQ's technology has advantages when it comes to providing quantum computing accuracy. McKinsey and Company forecasts the quantum computing market could be worth $72 billion by 2035. Saying a stock can 10x in a decade is one thing; actually showing the path to how it could be done is another. I think it's important to understand how a company could become that type of top-performing stock, and for IonQ(NYSE: IONQ), it seems to be pretty clear-cut: It would have to become one of the primary quantum computing unit suppliers. If it can achieve that, then I think monster returns are in its future. But what would the road map for it to get there look like? Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue » IonQ has leading technology Quantum computing is still a nascent technology, and there are several hurdles that its developers must overcome to make it suitable for mainstream use. The biggest is its accuracy, or rather, its lack of it. Because qubits -- the fundamental units for storing and processing data in quantum computers -- are incredibly sensitive to outside interference, it's relatively common for their final states in any calculation to get flipped incorrectly. What should be a 1 becomes a 0, or vice versa, and the whole computational result can be compromised. Discerning what is an effect of interference and what is actual data can be tricky, making accurate quantum computing difficult to achieve. There are a handful of error reduction and error correction techniques that are being pursued, but some require specific computing architectures. IonQ has taken a different path in the quantum computing industry than most:
May 13, 2026 · via theglobeandmail.com
Nvision Imaging Technologies GmbH raised $55 million in a series B financing round led by Abbott Laboratories for its quantum-enhanced sensing platform, Polaris, which uses quantum technology to boost the MRI signal of sugar-based imaging agents to enable real-time measurement of metabolism on standard MRI systems. Sella Brosh, CEO and co-founder of Nvision, told BioWorld that the funds are extremely important as the company is scaling the Polaris systems to many more sites worldwide, which is a capital intensive process.
May 13, 2026 · via bioworld.com
Alex Pruden: Quantum computing threatens elliptic curve cryptography, urgent need for postmodern cryptography, and the Bitcoin community’s philosophical divide | Empire Quantum computing's rapid advancements pose an urgent threat to the security of digital assets and financial systems. Key takeaways - Quantum computing is emerging as a significant threat to elliptic curve cryptography, which underpins many cryptographic systems. - There is an urgent need to transition to postmodern cryptography to safeguard digital assets from quantum threats. - Recent advancements suggest that fewer qubits are needed to break public key cryptography than previously thought. - The current cryptographic systems are vulnerable to both quantum computing and AI advancements. - Quantum computers could fundamentally disrupt financial systems and government security by breaking modern public key cryptography. - The internet’s reliance on trust makes financial systems particularly vulnerable to cryptographic threats. - Blockchain technology’s heavy reliance on cryptography presents challenges in adapting to safer cryptographic methods. - Hybrid cryptography is already being used to secure a significant portion of internet traffic, indicating a shift towards more secure systems. - The Bitcoin community is divided on the timeline and risk of quantum computing threats. - Bitcoin’s long-standing value and philosophical foundations make discussions about quantum threats particularly challenging. - The shift to postmodern cryptography is critical for the long-term security and viability of digital assets. - Quantum computing advancements could necessitate a reevaluation of current cryptographic practices across industries. - The integration of internet infrastructure with financial systems highlights the need for robust cryptographic security. - The ongoing efforts to enhance security through hybrid cryptography are crucial for the future of blockchain and digital assets. - Philosophical beliefs within the Bitcoin community influence the conversation around technological risks and threats. Guest intro Alex Pruden is the CEO of Project Eleven, an applied R&D lab
May 13, 2026 · via cryptobriefing.com
Key Points IonQ's technology has advantages when it comes to providing quantum computing accuracy. McKinsey and Company forecasts the quantum computing market could be worth $72 billion by 2035. Saying a stock can 10x in a decade is one thing; actually showing the path to how it could be done is another. I think it's important to understand how a company could become that type of top-performing stock, and for IonQ(NYSE: IONQ), it seems to be pretty clear-cut: It would have to become one of the primary quantum computing unit suppliers. If it can achieve that, then I think monster returns are in its future. But what would the road map for it to get there look like? Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue » IonQ has leading technology Quantum computing is still a nascent technology, and there are several hurdles that its developers must overcome to make it suitable for mainstream use. The biggest is its accuracy, or rather, its lack of it. Because qubits -- the fundamental units for storing and processing data in quantum computers -- are incredibly sensitive to outside interference, it's relatively common for their final states in any calculation to get flipped incorrectly. What should be a 1 becomes a 0, or vice versa, and the whole computational result can be compromised. Discerning what is an effect of interference and what is actual data can be tricky, making accurate quantum computing difficult to achieve. There are a handful of error reduction and error correction techniques that are being pursued, but some require specific computing architectures. IonQ has taken a different path in the quantum computing industry than most:
May 13, 2026 · via theglobeandmail.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
May 13, 2026 · via youtube.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
May 13, 2026 · via youtube.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
May 13, 2026 · via youtube.com
Abstract The development of large-scale, high-fidelity quantum processors is a fundamental scientific challenge, essential for exploring the boundaries of classical computation and advancing towards fault-tolerant systems. Gaussian boson sampling not only serves as a prominent model for demonstrating quantum computational advantage1,2,3 but can also generate bosonic error-correcting codes for fault-tolerant quantum computing4,5,6. However, its scalability has been hindered by significant photon loss in increasingly large and complex encoding circuits. Here we show a programmable photonic quantum processor, Jiuzhang 4.0, which incorporates 1,024 high-efficiency squeezed states into a hybrid spatial–temporal encoded 8,176-mode circuit. By achieving 92% source efficiency and 51% overall system efficiency, the processor produces samples with detection events up to 3,050 photons, representing an order-of-magnitude increase in scale over previous demonstrations7,8,9,10. This architecture realizes a cubic scaling of connectivity (163 = 4, 096), enabling sampling within a Hilbert space of dimension approximately 102,461. The experimental results are rigorously validated against all current classical simulation methods, especially the matrix product state algorithms recently designed to exploit photon loss11. The ability to control thousands of photons in programmable low-loss quantum processors pushes the experimental frontier into a regime far beyond classical tractability and opens a pathway to trillion-qumode three-dimensional cluster states and fault-tolerant photonic quantum hardware. This is a preview of subscription content, access via your institution Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription $32.99 / 30 days cancel any time Subscribe to this journal Receive 51 print issues and online access $199.00 per year only $3.90 per issue Buy this article - Purchase on SpringerLink - Instant access to the full article PDF. USD 39.95 Prices may be subject to local taxes which are calculated during checkout Similar content being viewed by others Data availability All the raw data of this
May 13, 2026 · via nature.com
For 250 years, America has done something no other country has managed at comparable scale: it has not merely invented the future, it has built it. Many of the foundations of modern life are distinctly American. By our count, Americans created or supported 76 of the 100 most important inventions of the past 250 years, from the telegraph and the electric grid to the airplane, the transistor, the personal computer, and generative AI. But invention has never been the whole story. America’s enduring strength has been reinvention: reshaping its economy around each geopolitical development and technological leap, turning discovery into industrial power, prosperity, and global influence. The railroad era, the GI Bill, the internet—each was a moment when America did not merely lead in ideas but mobilized the institutions, infrastructure, and workforce needed to scale them. As the country approaches its 250th anniversary, that cycle—from invention to reinvention—is under strain in ways that have no clear precedent. The question for the next 250 years is whether America can close the gap between what it discovers and what it builds, before others do it first. As the country approaches its 250th anniversary, the question is whether it can reinvent itself again, and quickly, as the connection between breakthrough ideas and industrial capacity once again becomes central to growth. At each key turning point, American inventions have been followed by industrial transformation. The rapid build-out of railroads and mass production powered the rise of an industrial economy. In the 20th century, federal research funding and world-class universities fostered inventions that turned the United States into a scientific superpower. Personal computers and the internet gave rise to a digital economy built on software, networks, and global information flows. Growth has been sparked by new ideas, but nurtured by the institutions, infrastructure, and workforce
May 13, 2026 · via fortune.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
May 13, 2026 · via youtube.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
May 13, 2026 · via youtube.com
INDIANAPOLIS — Across the nation, a technological revolution is underway. AI and data centers are at the helm. As they face growing opposition in Indiana, a new tech is starting to emerge: Quantum computing — and Indiana plays a big role. Quantum companies are pushing to roll out quantum technology around the world. China and the United States are some of the major players. But in the state, universities and quantum companies are partnering with tech giants like IBM, Google, and Microsoft to make quantum discoveries. In Indiana, there is a drive to connect quantum technology to a variety of fields, from the government and pharmaceuticals to data centers across the state. One company, Quantum Corridor, say they're doing that right now. But why? What makes quantum computing special? A Quantum Breakdown Classical computing is what people use now. It relies on bits to process and store information; they can either be 0 or 1. Think of them working in a chain, only having the ability to go back and forth. This is what's in your laptop, phone, or tablet. Quantum computing uses qubits, they can be 0, 1 or both simultaneously. They obey a completely different law of physics, allowing for complex problems to be solved. Instead of working inside of this chain, they can move freely, not only back and forth but around it. Opening the door for endless possibilities. "That really opens the window to a lot of different types of calculations that we could run in theory that were not possible before," IBM Quantum's global lead for content and education, Olivia Lanes, said. In theory, quantum computing will be able to do this at record breaking speeds, but it's unclear the extent to which it's happening now. IBM has set a timeline for their computing, with
May 13, 2026 · via wthr.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
May 13, 2026 · via youtube.com
NYU and IBM launch quantum postdoc program as demand grows for advanced computing skills New York University and IBM have launched a joint postdoctoral research program in quantum computing, giving selected NYU researchers access to IBM quantum computers, IBM Research teams, and facilities at both NYU’s Quantum Institute and the Thomas J. Watson Research Center. The collaboration places NYU inside the IBM Quantum Network, a group of academic institutions, enterprises, startups, and government labs working on quantum computing research and applications. The postdoctoral projects will focus on quantum algorithms and applications across chemistry, computer science, engineering, materials science, physics, and optimization. The program adds another industry-linked research route for advanced computing talent as universities and technology companies compete to build skills in quantum, artificial intelligence, high-performance computing, and applied science. Postdocs will work across NYU and IBM Research NYU postdoctoral researchers selected for the program will work on quantum-related projects sponsored and supported by IBM and its quantum researchers. The work will take place at NYU’s Quantum Institute and IBM Research headquarters, the Thomas J. Watson Research Center in Yorktown Heights, New York. Researchers will use IBM’s quantum computers as part of the program. NYU says the collaboration follows an earlier NYU-IBM program that trained undergraduate and graduate students in quantum information physics. The new postdoctoral program moves the relationship further into applied research, with work connected to quantum-centric supercomputing architectures that combine quantum and classical high-performance computing workloads. Javad Shabani, Professor at NYU and Director of NYU’s Quantum Institute, who will oversee the university’s role in the postdoctoral program, says: “Quantum computing’s potential to understand and address engineering, mathematical, and scientific barriers is unmatched. But maximizing its contributions requires developing a network of quantum pioneers across academia and industry who can reach beyond today’s technological boundaries. NYU welcomes the
May 13, 2026 · via edtechinnovationhub.com
CAS Cold Atom Technology, a Wuhan-based quantum computing company affiliated with the Chinese Academy of Sciences (CAS), has unveiled a dual-core neutral atom quantum computer dubbed Hanyuan-2. The company claims the 200-qubit system is the first of its kind globally, with its dual-core framework designed to address limitations around scalability and interference. Comprising 100 rubidium-85 and 100 rubidium-87 neutral atoms, Hanyuan-2 works by splitting workloads across the system’s two arrays, allowing each to compute different aspects of a problem simultaneously or perform error correction on one another. Furthermore, because neutral atom-based quantum computers don’t need to be cooled to near absolute zero temperatures, like superconducting or trapped ion systems, Hanyuan-2 can operate at room temperature, with its integrated cabinet design cooled by a small laser system. This has resulted in a significant reduction in the system’s power consumption – below 7kW, the company claims. All the information regarding the Hanyuan-2 was reported by Chinese state-affiliated media outlets, and no additional metrics that would verify the claims have been published. Neutral atom quantum computing is a modality that involves controlling individual, charge-neutral Rydberg atoms with laser-based "optical tweezers.” In March 2026, Google announced it would be expanding its quantum computing efforts to include a neutral atom approach, having previously focused on the development of superconducting qubits for more than a decade. At the time, the company said its neutral atom program would be built on three pillars: quantum error correction, modeling and simulation, and experimental hardware development. Comments
May 12, 2026 · via datacenterdynamics.com
Dutch quantum computing component firm FrostByte has secured new funding to develop supercooled electronics.
The company this week closed a €1.3 million ($1.5m) pre-seed funding round, with backing from UNIIQ, Paeonia Group, InnovationQuarter, Graduate Ventures, and an angel investor.
A spin-off from TU Delft and QuTech, FrostByte aims to develop cryo-CMOS technology that brings control electronics closer to the quantum processor, reducing the amount of cables and electronics.
“With this investment, we can further develop our technology towards manufacturable cryo-electronics for the global quantum industry,” said James Kroll, CEO and co-founder of FrostByte.
Aside from the quantum processing units themselves, most parts of supercooled quantum computers operate at room temperature in racks next to dilution refrigerators.
FrostByte’s first products are a family of cryogenic RF switches that replace room-temperature switching with smaller, low-power components operating down to millikelvin temperatures.
"FrostByte is exactly the kind of company that shows what the Dutch knowledge economy is capable of producing," said Auke van den Hout, managing partner at Graduate Ventures.
"This investment fits within Graduate Ventures' broader strategy of backing key technologies such as quantum, AI, and climate tech, where fundamental research is translated directly into industrial application."
Comments
May 12, 2026 · via datacenterdynamics.com
Photonic Inc. Closes Investment Round with over $200M USD ($275M CAD) VANCOUVER, British Columbia, May 12, 2026 — Photonic Inc., a global leader in distributed quantum computing, today announced the final close of over $200M USD ($275M CAD) in investment, giving the company a $2B USD ($2.7B CAD) post-money valuation. The round, led by Planet First Partners, a UK-based sustainable technology growth equity firm, brings total capital raised by Photonic to over $350M USD ($475M CAD). This round adds new investors Business Development Bank of Canada (BDC), Export Development Canada (EDC), Bell Ventures, Firgun Ventures, InBC Investment Corp. and existing investor Mubadala Capital. The round’s first close, announced in January 2026, attracted strategic investors Royal Bank of Canada (RBC) and TELUS, alongside returning investors British Columbia Investment Management Corporation (BCI) and Microsoft. The breadth of investors demonstrates strong support across Canada, Europe, the United Kingdom, the United States, and the Middle East. Photonic is accelerating the path to fault-tolerant quantum computing through its Entanglement First™ Architecture, a unique approach combining silicon-based qubits and native photonic connectivity that enables seamless scaling across existing global telecom infrastructure. "This financing unites government, strategic partners, and international investors around a shared conviction: that commercial-scale quantum computing is within reach – and that its economic impact will be transformative. We would particularly like to recognize the meaningful contributions from the Government of Canada via both BDC and EDC. Photonic is already delivering on commitments to customers, including as part of the Canadian Quantum Champions Program and Stage B of DARPA's Quantum Benchmarking Initiative. We will use this funding to continue to hit key milestones, grow our team, and deepen the partnerships that will take us there.” — Don Mattrick, CEO, Photonic Inc. “Distributed architectures will be an important way to scale quantum technology, and Photonic
May 12, 2026 · via bdc.ca
IQM Quantum Computers has officially launched its HPC Integration Service, a turnkey solution designed to integrate its IQM Radiance superconducting quantum computers directly into high-performance computing (HPC) environments. By operating as a Slurm node, IQM’s systems can now be scheduled and managed as standard computational resources alongside CPUs and GPUs using the open-source workload manager utilized by the majority of the world’s top supercomputing centers. The service is built on IQM’s Quantum Device Management Interface (QDMI), an open-source standardization layer developed to resolve the fragmentation caused by vendor-specific software interfaces. This integration allows researchers and system administrators to submit quantum jobs through familiar HPC interfaces, effectively removing the “integration bottleneck” that has historically required bespoke engineering for every on-premises quantum deployment. Production Validation at LRZ The HPC Integration Service is already in production at the Leibniz Supercomputing Centre (LRZ) in Germany, where IQM has installed four quantum systems. This real-world implementation enables users to run hybrid quantum-classical workloads without needing to program new routines for each backend. Prof. Dieter Kranzlmüller, Chairman of the LRZ, described the service as a key step toward the “seamless integration” of quantum hardware into existing heterogeneous infrastructures, allowing users to focus on use-case execution rather than hardware-level complexities. Strategic Public Listing and Global Growth This launch follows IQM’s February 2026 announcement of a planned merger with Real Asset Acquisition Corp. (Nasdaq: RAAQ) to go public at a $1.8 billion pre-money valuation. The transaction, expected to close in June 2026, would make IQM the first publicly listed European quantum company on a major U.S. exchange, with a potential dual listing on the Helsinki Stock Exchange also under consideration. With systems operating at four of the world’s top 10 supercomputing centers and a growing team of over 350 employees, IQM is positioning its on-premises model—where customers own
May 12, 2026 · via quantumcomputingreport.com