A new quantum algorithm sharply accelerates density functional theory (DFT) calculations and overcomes limitations in electronic structure modelling. Yuansheng Zhao and colleagues from Quemix Inc, Honda R&D Co, The University of Tokyo, National Institutes for Quantum Science and Technology (QST) and Quantum Materials and Applications Research Centre, present a qubit-efficient encoding scheme alongside a quantum algorithm capable of simultaneously computing all occupied orbitals. Their approach circumvents the computationally expensive process of reading out the electronic density, potentially offering an exponential speedup when applied to the Harris functional and enabling self-consistent DFT calculations without density readout. These findings represent a key step towards realising the full potential of quantum computers for materials science and quantum chemistry. Density-free algorithms unlock scalable quantum simulations via simultaneous orbital computation A reduction in computational cost for Kohn-Sham density functional theory (KS-DFT) calculations has been achieved, demonstrating an order of magnitude improvement by removing the need to read out electronic density. This process previously limited the scalability of quantum simulations. The breakthrough circumvents a fundamental bottleneck, enabling self-consistent DFT calculations that were previously intractable for all but the smallest systems due to exponential scaling with system size. Traditional DFT calculations rely heavily on determining the electron density of a material, a step that becomes increasingly demanding as the number of atoms and electrons increases. The computational cost of obtaining this density scales exponentially with system size, hindering the application of DFT to larger, more complex materials. This new algorithm bypasses this bottleneck by directly calculating the occupied orbitals without explicitly determining the density, significantly reducing the computational burden. The new algorithms, particularly effective with the Harris functional, utilise a qubit-efficient encoding scheme and simultaneous orbital computation to unlock potentially exponential speedups. Copies of wavefunctions further enable self-consistent calculations without electronic density readout, representing an advance in
Jun 6, 2026 · via quantumzeitgeist.com
Scientists have developed a new method for extracting excitation spectra from complex many-electron systems, improving spectral reconstruction accuracy despite limitations in current quantum hardware resolution and environmental noise. Taichi Kosugi and colleagues at Quemix Inc, in collaboration with MITSUI KINZOKU COMPANY, National Institutes for Quantum Science and Technology (QST), The University of Tokyo, and Quantum Materials and Applications Research Centre, present QPE averaged over variable grids, or QAVG, which combines low-resolution quantum phase estimation with multiple origin shifts and continuous parametrization. They accurately determined the spectra of a CO molecule adsorbed onto a $χ$-Fe$_$5C$_2$ surface using Quantinuum H2-2, employing both physical and logical quantum phase estimation circuits with Steane code and offline bit-flip correction. QAVG effectively suppresses local minima during optimisation and offers a strong pathway towards quantum simulations of correlated spectra, enabling advancements in the field as fault-tolerant quantum computers develop. Variable grid averaging enhances quantum spectral reconstruction for molecular modelling Deviations in spectral reconstruction were reduced to less than the nominal QPE resolution, representing a two-fold improvement over previous methods and enabling accurate analysis previously impossible with limited quantum hardware. This breakthrough stemmed from employing a new technique, QPE averaged over variable grids, or QAVG, which combines multiple low-resolution measurements to overcome limitations imposed by noise and grid resolution in quantum computers. The fundamental principle behind QAVG lies in its ability to mitigate the effects of spectral leakage, a common artefact in Fourier-transform based spectroscopy where energy from a given spectral feature spreads into adjacent frequencies. Traditional quantum phase estimation (QPE) relies on accurately determining the eigenvalues of the system’s Hamiltonian, which requires a finely discretised grid of energy levels. However, current noisy intermediate-scale quantum (NISQ) devices struggle to maintain the coherence necessary for high-resolution QPE. QAVG circumvents this by performing multiple QPE measurements with slightly shifted energy
Jun 6, 2026 · via quantumzeitgeist.com
RISHI SUNAK Rishi Sunak: Here’s how the UK can capitalise on its tech genius Britain is Europe’s leading tech power and we can leverage our advantage. Dominance over key links in the supply chain will bring national security benefits Rishi Sunak Saturday June 06 2026, 12.01pm BST, The Sunday Times Previous Article Next Article
Jun 6, 2026 · via thetimes.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
Jun 6, 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
Jun 6, 2026 · via youtube.com
Rating: Highly Speculative / Selective buy on pullbacks Style: Quantum hardware optionality Core debate: Is Rigetti becoming a credible superconducting quantum hardware contender with improving commercialization and a much stronger balance sheet, or is the stock still far ahead of the company’s real economic progress? Executive view Rigetti looks better today than it did in the prior version of the thesis, mainly because the company now has a fresher proof point: Q1 2026 revenue of $4.4 million, up sharply year over year, helped by Novera system deliveries, while still maintaining $569 million of cash, cash equivalents, and investments and zero debt. That matters because Rigetti had been easier to like as a technology concept than as a business. Q1 does not solve that gap, but it narrows it. At the same time, the core truth has not changed: this is still a pre-scale quantum hardware company whose valuation depends much more on future technical and commercial milestones than on current fundamentals. The stock is around $18.94 with a market cap of about $6.16 billion, while full-year 2025 revenue was only $7.1 million. That means investors are still underwriting a lot of future success. Why now — Q1 2026 finally gave the story a better operating datapoint The biggest update is that Rigetti’s latest quarter was materially better than the old thesis base. In Q1 2026, the company reported $4.4 million of revenue, versus $1.5 million in Q1 2025, driven by Novera and system-related deliveries. It also reported an operating loss of $26.0 million and a non-GAAP net loss of $14.7 million, which shows the business is still far from profitability, but the revenue improvement matters because it provides evidence that commercialization is not purely theoretical. More importantly, Rigetti ended the quarter with $569 million in cash, cash equivalents, and investments
Jun 6, 2026 · via simplywall.st
Quantinuum hits $17.6 billion valuation in Nasdaq debut NEW YORK CITY, New York: Quantinuum, the quantum computing company backed by Honeywell, saw its shares rise sharply in its Nasdaq debut on June 4, giving the company a market valuation of about $17.6 billion and highlighting continued investor enthusiasm for emerging technologies. The stock opened at $68 per share, up 13.3% from its initial public offering price of $60. The strong debut comes amid growing interest in quantum computing, a technology that researchers believe could eventually solve certain highly complex problems faster than conventional computers. While the industry remains in its early stages and commercial adoption is still limited, investors have increasingly been willing to bet on its long-term potential. "The investment case is centered on the long-term potential of quantum computing and its potential role in future computing infrastructure," said IPOX Schuster analyst Kat Liu. "The support is meaningful because quantum computing is increasingly viewed as a strategic technology with implications for national security, AI, communications and advanced computing." Investor sentiment received an additional boost last month when the U.S. government announced a $2 billion initiative to take equity stakes in nine quantum computing companies, including a planned $100 million investment in Quantinuum. Interest in the sector has also been fueled by advances in artificial intelligence, with some investors believing increasingly powerful AI systems could eventually drive demand for quantum computing capabilities. The Broomfield, Colorado-based company raised $1.68 billion through an upsized IPO after selling 28 million shares at $60 each, above its marketed price range of $53 to $55 per share. Earlier in the week, Quantinuum increased the size of the offering from 26.5 million shares, reflecting strong investor demand. Founded in 2021 through the merger of the quantum computing businesses of Honeywell and software company Cambridge Quantum, Quantinuum
Jun 6, 2026 · via bignewsnetwork.com
AUSTRALIAN quantum technology company Silicon Quantum Computing (SQC) said it is aiming to deliver commercial-scale quantum computers by 2033 as it advances development of silicon-based quantum processors for enterprise and government applications. The Sydney-based company, which has received AU$180 million in funding, said its technology is built on the ability to position individual phosphorus atoms within isotopically pure silicon with an accuracy of 0.13 nanometers. The company employs more than 100 people, including 85 engineers. SQC said its quantum systems are designed for applications in telecommunications, finance, energy and government sectors, where organizations are exploring new ways to process complex computations, improve forecasting and strengthen analytical capabilities. “Delivering a commercial-scale quantum computer requires the world’s most cutting-edge hardware and relationships with hardware providers. We are proud to be using AMD products, and we are on this journey together,” SQC founder and Chief Executive Officer Michelle Simmons said. The company said its approach combines quantum processors with classical computing systems, enabling real-time system management, error correction and software development. To support those efforts, SQC uses AMD hardware platforms for qubit control, simulation and modeling workloads. Quantum computing development requires extreme manufacturing precision. SQC engineers place and control individual atoms within silicon wafers to create qubits, the fundamental units of quantum information. The company said maintaining material purity is critical because imperfections can introduce noise that affects processor performance. “We have our own manufacturing facility, allowing us to design and deliver new chips weekly. That’s a huge advantage over competitors and is essential for agility as we build our commercial muscle and prepare for broad scale adoption of quantum computing,” Simmons said. SQC said it fabricates and tests hundreds of chip designs each year and regularly introduces hardware and firmware updates as it refines its quantum systems. The company also develops much
Jun 6, 2026 · via manilatimes.net
One of the most advanced laboratories in the world has worked on pioneering quantum research for 80 years and is turning to the municipal utility in Chattanooga to prove the technology is good for business.
One of the most advanced laboratories in the world has worked on pioneering quantum research for 80 years and is turning to the municipal utility in Chattanooga to prove the technology is good for business.
Comments
Jun 6, 2026 · via timesfreepress.com
New ‘super-brain’ learns laws of nature to fast-track optical component design The physics-informed artificial intelligence predicts optical properties in milliseconds. Researchers at Chalmers University of Technology have developed a machine learning system that learns the laws of physics before training, allowing it to design advanced optical materials up to ten times faster than conventional methods. The breakthrough could accelerate the development of optical components used in applications ranging from quantum computing to camera and eyeglass lenses. “When we fed the super-brain information about the laws of physics, it immediately got much smarter. Our calculations now take one tenth of the time previously required,” said Philippe Tassin, professor at the Department of Physics and Astronomy. Designing advanced optical materials The Chalmers team works in nanophotonics, a field focused on controlling and manipulating light at scales smaller than its wavelength. At these dimensions, light behaves differently than it does in conventional optical systems, enabling scientists to create artificial materials with properties not found in nature. Using supercomputer simulations, the researchers design optical materials that could be used to make camera and eyeglass lenses lighter, thinner, and more effective. Their work could also support future developments in quantum technologies. Together with researchers at the Department of Microtechnology and Nanoscience, where Sweden’s first larger quantum computer is being built, the team is exploring whether nanostructured materials can be designed to control how light travels. The concept involves using mechanically compliant photonic crystals to transmit information between quantum computers or across longer distances using optical frequencies. The simulations play a central role in this work, helping researchers determine how materials should be structured to achieve the desired optical properties. Solving the bottleneck The research relies heavily on machine learning and neural networks, which analyze vast amounts of simulation data to predict how materials will behave.
Jun 6, 2026 · via interestingengineering.com
Hitachi partners with Intel to enhance AI transformation in key industries The two companies are expanding a 40-year relationship to tackle physical AI, quantum computing, and energy optimization across manufacturing, energy, and mobility sectors. Hitachi and Intel just formalized what might be the most ambitious industrial AI collaboration of the year. The two companies announced a strategic partnership on June 5 focused on deploying AI, advanced computing, and digital infrastructure across manufacturing, energy, and mobility. This isn’t a fresh courtship. Hitachi and Intel have been working together for over 40 years, which makes this less of a first date and more of a vow renewal, except this time the couple is promising to build quantum computers and smart factories together. Five pillars, one giant bet on physical AI The partnership is built around five strategic pillars: foundry tools, quantum computing, energy optimization, custom silicon and edge-AI applications, and factory automation. The connective tissue here is what both companies call “physical AI,” meaning AI that operates in the real world rather than just generating text or images on a screen. One concrete outcome already highlighted is the deployment of Hitachi’s HMAX Energy management services inside Intel’s own fabrication facilities for power equipment management. It’s a proof of concept: Intel gets a partner who can optimize its own operations, and Hitachi gets a flagship customer to showcase its industrial AI capabilities. The announcement came with endorsements from the top. Intel CEO Lip-Bu Tan and Hitachi CEO Toshiaki Tokunaga both lent their names to the collaboration, signaling that this sits at the executive strategy level rather than being a mid-tier engineering partnership. Why this matters beyond the corporate handshake Manufacturing, energy, and mobility are domains where mistakes are expensive, dangerous, or both. That’s precisely why these industries have been cautious about AI deployment,
Jun 6, 2026 · via cryptobriefing.com
- United States - / - Semiconductors - / - NasdaqCM:RGTI Assessing Rigetti Computing (RGTI) Valuation After Strong Long Term Returns And Ongoing Losses Rigetti Computing overview Rigetti Computing (RGTI) has drawn investor attention with its focus on quantum computing hardware and cloud access, while the stock shows mixed short term moves and stronger longer term total returns. See our latest analysis for Rigetti Computing. After a sharp 14.4% decline in the 1 day share price and a 19.03% fall over the past week, Rigetti’s 1 year total shareholder return of 83.33% and very large 3 year total shareholder return suggest longer term momentum has still been strong. If quantum computing is on your radar, it can be useful to compare Rigetti with peers by scanning 30 quantum computing stocks With Rigetti shares recently down over the past day and week, but well ahead on a 1-year view and trading below the average analyst price target, is this a genuine entry point or is the market already pricing in future growth? Most Popular Narrative: 29.2% Overvalued According to the widely followed narrative by HedgeY, Rigetti’s fair value of $16.00 sits below the last close at $20.68, which puts the current price at a clear premium to that storyline. The biggest update is that Rigetti’s latest quarter was materially better than the old thesis base. In Q1 2026, the company reported $4.4 million of revenue, versus $1.5 million in Q1 2025, driven by Novera and system-related deliveries. It also reported an operating loss of $26.0 million and a non-GAAP net loss of $14.7 million, which shows the business is still far from profitability, but the revenue improvement matters because it provides evidence that commercialization is not purely theoretical. That narrative leans heavily on fast growing revenue, large operating losses, and a
Jun 6, 2026 · via simplywall.st
Northwestern University engineers have pulled off something that sounds like science fiction, but is very much about the internet we already use every day. For the first time, researchers demonstrated quantum teleportation over a fiber-optic cable that was also carrying regular high-speed internet traffic. This does not mean people, objects, or even normal web pages were teleported. The breakthrough is more practical, and maybe more important. It suggests that future quantum networks could run through existing fiber infrastructure instead of requiring an expensive new web of specialized cables. A busy cable, not a clean lab line The team tested the system across about 18.8 miles of optical fiber while a conventional data signal moved through the same cable at 400 gigabits per second. In other words, the quantum signal was not being protected inside an empty laboratory lane. It was sharing space with the kind of heavy data traffic that keeps modern networks alive. That is the part that matters. Quantum signals are extremely fragile, and researchers have long worried that single photons carrying quantum information would get buried by the huge number of light particles used in ordinary communications. It is a little like trying to hear a whisper in the middle of a packed train station. What quantum teleportation actually means Despite the name, “quantum teleportation” is not about beaming matter from one place to another. It means transferring the quantum state of one particle to another distant particle using entanglement, a strange but well-tested feature of quantum physics. In normal computing, bits are usually read as either 0 or 1. Quantum computing uses qubits, which can hold more complex states and make certain kinds of calculations far more powerful. That is why scientists care so much about moving quantum information safely across long distances. The trick was
Jun 6, 2026 · via vozpopuli.com
Quantinuum, the Honeywell-backed trapped-ion quantum computing company, began trading on the NASDAQ today after pricing its IPO at $60 per share and raising $1.68 billion. On CNBC’s Squawk Box this morning, CEO Rajeeb Hazra delivered the line that will define the debut: “It is not 10 to 15 years out. It’s very much now. And we will only see acceleration going forward.” That is a bold framing on a day when investors are also digesting the company’s early-stage financials. It is also a direct challenge to the long-running skeptic view that quantum is still a science project. The Debut Quantinuum was spun out of Honeywell, which remains a majority shareholder post-IPO. The company builds trapped-ion quantum computers, including hardware called Helios. Trapped-ion systems use charged atoms held in electromagnetic fields as qubits, an approach valued for high gate fidelity and accuracy. It is the same broad architecture used by IonQ (NYSE:IONQ | IONQ Price Prediction), making IonQ the closest public comparable for investors trying to triangulate Quantinuum’s positioning. The “Very Much Now” Thesis Hazra’s pitch leans on customers rather than theory. “We have customers today that are using our commercially available hardware and software, our full stack, to get started with their quantum journey on transforming, whether it’s their product set is pharma, their product set is financial instruments, their product set is new chemicals,” he said. He also tied quantum directly to the AI buildout: “We are in a transformative moment for the computing industry as AI and workloads take over and drive increasing amounts of value.” He acknowledged the stage of the market, calling it “early days of a massive industry,” where the KPIs are hardware performance and accuracy. The Profitability Question Here is where investors will scrutinize the story. Quantinuum reported 2025 revenue of $31 million and
Jun 6, 2026 · via 247wallst.com
A massive, game-changing natural resource discovery is unfolding right in America’s backyard. In this episode of In Business, host Ken Buehler travels to northeastern Minnesota’s Iron Range, where an exploration company called Pulsar Helium has uncovered a domestic goldmine of helium. While most people associate helium with party balloons, it is actually a critical, dwindling resource essential for supercooling MRI machines, manufacturing AI semiconductor chips, and powering quantum computers. Ken speaks with Cliff Kane (President of Pulsar Helium) about the staggering 12% helium concentrations found at the Jetstream 1 well site, and learns about the groundbreaking discovery of Helium-3—a rare isotope valued at $30 million per kilogram. We also dive deep underground with geologist Dr. Jarish Takarta to understand how 1.1-billion-year-old volcanic rock trapped this gas, and talk to Wes Minton of Chart Industries about the state-of-the-art cryogenic technology needed to bring this resource to the global market. This program is made possible by the support of viewers like you. Learn more about how your membership to PBS North helps fund local programs like this one. https://pbsnorth.org/support/ Have a story idea? Email us at ask@pbsnorth.org 🔗 Stay Connected: Watch more episodes: pbsnorth.org or the PBS app. Listen on the radio: Tune in to @Thenorth1033 on Mondays at 5:30 PM. 0:00 – Introduction: The Global Helium Shortage & High-Tech Uses 01:31 – Welcome to the Iron Range: Pulsar Helium’s Chance Discovery 02:26 – Why This “Pure Play” Helium Find is Economically Huge 03:41 – Helium-4 vs. Helium-3: The $30 Million Space & AI Arms Race 05:22 – Minnesota’s New Legal Framework for Gas Production 05:54 – Bonus Commodity: Capturing Food & Medical Grade CO2 06:37 – Could Minnesota Become the Next Semiconductor Chip Hub? 07:31 – The Geology: Where Does Helium Come From? (Dr. Jarish Takarta) 08:52 – How 1.1-Billion-Year-Old Rock
Jun 6, 2026 · via share-talk.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
Jun 6, 2026 · via youtube.com
Rigetti Computing (NASDAQ:RGTI) is back in every quantum chat room after running 53.6% in a month on hopes that its 108-qubit system finally turns research into revenue. But here’s what you should actually be watching. The Rigetti story sounds great until you read the income statement. Full-year 2025 revenue declined to $7.09 million from $10.79 million in 2024, a 34.31% drop. Q1 2026 looked better on the surface at $4.4 million, but the headline $33.1 million GAAP net income came from a $53.7 million favorable swing in derivative warrant liabilities, an accounting artifact, while the actual operation lost $26 million and burned $16.2 million in operating cash. Management offers no formal revenue guidance, and Rigetti itself flags fault-tolerant quantum computing as a longer-term objective with an uncertain timeline. Now stack that against the valuation. Alpha Vantage pegs the trailing price-to-sales ratio at 867 on $10 million in trailing revenue. The CFO and CTO have been disposing of stock into the rally, with the CTO unloading nearly 19,000 shares on May 22, 2026. Retail is already wobbling: r/stocks discussions on May 22, 2026 ran “very bearish” with posts like “Quantum stocks are sham / don’t buy the pop today.” When the only thing growing reliably is the share count, that signals a hype cycle. IonQ (NYSE:IONQ | IONQ Price Prediction) is doing what Rigetti keeps promising. Three reasons it deserves your attention instead. 1. A real, contracted backlog IonQ closed Q1 2026 with remaining performance obligations of $470 million, up 554% year over year. That is contracted, visible future revenue, the kind of number retirement investors should care about. Rigetti’s order book is still measured in one-off chip sales. 2. Enterprise validation across clouds and customers IonQ is the only pure-play quantum provider natively integrated across all three major public clouds
Jun 6, 2026 · via 247wallst.com
At a Glance - Quantum technology poses an outsized and immediate challenge for telcos, with implications spanning network security, infrastructure strategy, and regulation. - Post-quantum cryptography is the most pressing priority as “harvest now, decrypt later” threats put today’s sensitive telecom data at risk. - Quantum computing has the potential to solve some of telecom’s most complex optimization challenges, but carriers need to build capabilities now to stay ahead of the curve. - Quantum communications is one area in which telcos hold a structural advantage—namely, owning the fiber infrastructure makes targeted solutions for high-security use cases commercially viable. Quantum is generating more executive anxiety per unit of understanding than any technology since blockchain. Board members read about quantum computers breaking encryption and ask their chief information security officers (CISOs) whether the sky is falling. Chief technology officers (CTOs) hear about quantum-optimized networks and wonder whether they should be running pilots. Strategy teams see market-sizing decks projecting trillions and cannot distinguish signal from noise. The better starting point is this: Quantum is not one technology; it is four distinct domains—post-quantum cryptography (PQC), quantum computing, quantum communications, and quantum sensing—each operating on a different timeline. The first three apply most urgently to telecom, each requiring a different organizational response. Conflating them is where most carrier leadership teams make their first mistake. It leads either to premature overinvestment across the board or to dangerous complacency on cryptography, the one domain in which the threat is already active. For telecom carriers specifically, the stakes are higher than for most enterprises. Carriers sit at the center of national communications infrastructure. They handle sovereign data, financial transactions, healthcare records, and critical infrastructure signaling. They manage cryptographic dependencies across 5G core networks, subscriber identity systems that serve hundreds of millions of devices, and interconnect agreements that span
Jun 5, 2026 · via bain.com
Microsoft releases its second-generation quantum chip. Ultrasound could replace pacemakers. And why you shouldn’t skip breakfast. All that and more in this week’s Prototype. To get it in your inbox, sign up here. Microsoft is doubling down on its quantum computing plans. In February of last year, it released its new class of quantum chip, Majorana 1. This week, it introduced a new version, Majorana 2, and the company is now rethinking its timeline for when it will be able to build a useful quantum computer. “We used to talk about 2033 as a timeline for a scalable machine,” Zulfi Alam, Microsoft’s VP for quantum, told a press briefing this week. “And we are delighted to say right now that we are targeting 2029.” Key to this aggressive change in timeline is the company’s claim that the quantum bits–aka qubits–stay together for an average of 20 seconds, about 1,000 times longer than the first-generation chip. This is one important metric for making quantum computing practical, because qubits are very fragile, susceptible to disruption. This introduces errors to calculations, which then take time to correct. There are many different hardware paths to quantum computation, each with their own advantages and tradeoffs. Microsoft’s approach is what’s called a topological qubit, which offers hardware-based protection against the qubits’ natural fragility. This is a newer approach, so other technologies are ahead of Microsoft for now. (And some researchers in the industry have questioned the company’s claims, because it doesn’t publish its experiments to be replicated, relying instead on DARPA to validate them in order to protect its trade secrets.) But the technology company is convinced it’s on the right path to make true quantum computing a reality. “This is effectively 1,000 times better than our previous generation,” Alam said. “So it’s not a step
Jun 5, 2026 · via forbes.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
Jun 5, 2026 · via youtube.com