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- 1QuEra Uses AI to Automate Laser Locking in Quantum Computers●AI Laser Locking for Quantum Computers: How QuEra Automates It
Quantum computing company QuEra has described how it uses artificial intelligence to automate the locking and tuning of lasers in its quantum computers. Laser systems must stay precisely aligned to control neutral-atom qubits, and manual tuning is labor-intensive. The company says AI-based control helps keep the machines stable and reduces operator workload, a step toward more reliable, continuously running quantum hardware.
- 2Simultaneous high-fidelity gates achieved in spin qubit array●Simultaneous high-fidelity single-qubit gates in a spin qubit array
Researchers report operating single-qubit gates on many qubits at the same time in a spin qubit array, achieving high fidelity across the device. The work, published in Nature, addresses a key challenge in scaling quantum processors, where performing gates in parallel without degrading accuracy has been difficult. The result suggests silicon spin qubit arrays are moving closer to practical, large-scale quantum computing.
- 3
Quantum computing continues to expand past the single-qubit milestone, as systems now juggle many qubits at once. A new explainer from Open Source For You outlines how multi-qubit machines handle superposition and entanglement, and what that means for computing power. Researchers and technology watchers are debating how quickly these systems will move from laboratories into practical, real-world applications.
- 4Italy unveils Volta B1 quantum system with over 4,400 qubits●Il Sole 24 ORE - Italia: Presentato Volta B1, il sistema quantistico da oltre 4.400 qubit. Crosetto: «La tecnologia è po
Italy has presented Volta B1, a quantum computing system boasting more than 4,400 qubits. Defence Minister Guido Crosetto attended the presentation, stating that "technology is power" and framing the system within a "dual use" logic, meaning it is intended for both civilian and defence applications. The unveiling highlights Italy's push into quantum technology and its strategic importance for national security.
- 5Chinese Quantum Startup FlipFlop Tuoyuan Emerges with VC Backing▼Chinese Startup FlipFlop Tuoyuan Emerges with Major VC Backing for 100-Logical-Qubit Neutral-Atom Systems
FlipFlop Tuoyuan, a Chinese quantum computing startup, has come out of stealth with venture capital backing to develop neutral-atom quantum systems targeting 100 logical qubits. The company joins a growing field of startups pursuing error-corrected, logical qubits rather than raw physical qubit counts, an approach also championed by firms like QuEra. The funding signals continued investor interest in China's quantum hardware sector.
- 6RIKEN achieves high-fidelity simultaneous control of silicon spin qubits▼RIKEN Demonstrates High-Fidelity Simultaneous Control of Silicon Spin Qubits Above 99.9% Threshold
RIKEN researchers have demonstrated high-fidelity simultaneous control of silicon spin qubits, with performance exceeding the 99.9% threshold widely seen as necessary for fault-tolerant quantum computing. The result, reported by quantum computing industry outlets, marks progress toward scalable silicon-based quantum processors, a leading candidate architecture because it builds on existing semiconductor manufacturing technology.
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Researchers report that reinforcement learning can reduce the number of quantum gates needed to prepare four-qubit quantum states. By training an algorithm to optimise quantum circuits, the approach promises shorter, less error-prone state preparation, a key concern for near-term quantum hardware. The work points to machine learning playing a growing role in automating quantum circuit design.
- 8Groove bets quantum computing's future on germanium●Why Groove is betting quantum computing’s future rests on germanium
Dutch tech publication Bits&Chips reports that Groove, a quantum computing company, is placing its technology bet on germanium rather than the silicon or superconducting approaches many rivals pursue. The company argues germanium can host qubits that are easier to control and integrate with existing chip manufacturing. The piece outlines Groove's reasoning and what the material choice could mean for scaling quantum computers.
- 9
A new model-based approach to qubit noise analysis in quantum computing is reported to deliver both higher accuracy and faster performance. The technique aims to improve how noise affecting quantum bits is characterised, a key challenge for building reliable quantum computers. Details beyond the headline claim are limited.
- 10Fermilab's quantum center marks six years of research●Six years of SQMS: asking what limits quantum systems and building the answers
The Superconducting Quantum Materials and Systems Center, hosted by Fermilab, is marking its sixth anniversary. The center studies what limits quantum systems, including decoherence and material defects in superconducting qubits, and works on engineering solutions to extend quantum computer performance. The milestone highlights its progress toward building more reliable quantum machines.
- 11
Researchers report that a minimal two-qubit quantum setup can be used to track how energy spreads through quantum systems. The claim, covered by physics-focused outlets, suggests even very small quantum processors can model energy transport dynamics that are classically difficult to simulate. Details of who performed the work and where it was published have not yet circulated widely.
- 12China's Tuoyuan Targets Neutral-Atom Quantum Computing●China’s Tuoyuan Targets Neutral-Atom Quantum Computing
Tuoyuan, a Chinese quantum technology company, is focusing its efforts on neutral-atom quantum computing, one of the leading hardware approaches in the field. The move adds another player to China's growing quantum computing sector, where firms are pursuing different technical routes including superconducting qubits, trapped ions and photonic systems. Neutral-atom platforms use lasers to trap and control individual atoms as qubits, an approach also being advanced by companies and labs in the United States and Europe.
- 13Andrew Dzurak Wins Top Physics Award for Silicon Spin Qubits▼Silicon Spin Qubits Earn Diraq’s Andrew Dzurak Top Physics Award
Physicist Andrew Dzurak, founder of Australian quantum computing company Diraq, has received a top physics award for his work on silicon spin qubits. The technology, which uses electron spins in silicon chips to store quantum information, is seen as a promising route to scalable quantum computers built on existing semiconductor manufacturing. The award highlights growing recognition of silicon-based approaches in the global race toward practical quantum computing.
- 14Fermilab physicist wins DOE award to probe dark matter with qubits▼Fermilab physicist wins DOE Early Career Award to study dark matter with entangled qubits
A Fermilab physicist has received a US Department of Energy Early Career Award to pursue new research into dark matter using entangled qubits. The funding supports an early-career scientist exploring whether quantum computing techniques can help detect dark matter, one of physics' biggest unsolved problems. The award highlights the Department of Energy's investment in young researchers working at the intersection of quantum information science and particle physics.
- 15Accessible software key to making quantum computers useful●Why accessible software is the cornerstone of useful quantum computers
Industry coverage is highlighting that software accessibility, not just hardware performance, will determine whether quantum computers become practically useful. The argument is that developers need approachable programming tools and open platforms to build real applications on quantum machines. The piece reflects a growing consensus in the quantum computing field that usability and software ecosystems are as critical as qubit counts for commercial adoption.
- 16Hybrid quantum computers edge closer to uniting light and matter▼Hybrid quantum computers could finally get to grips with light and matter
Phys.org reports that hybrid quantum computer designs could soon bridge the long-standing gap between systems that process light and those that process matter, potentially combining the strengths of both approaches in a single machine. The piece highlights progress toward platforms where photons and matter-based qubits work together, a step researchers see as key to building more capable quantum devices.
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IBM researchers report observing a phase transition from quantum chaos to order using a 100-qubit quantum processor. The experiment demonstrates that today's quantum computers can study complex many-body dynamics previously out of reach for classical simulation, marking a notable step for quantum physics research on large-scale quantum hardware.
- 18IBM Opens Quantum Chip Fab to Mass-Produce Qubits▼IBM’s Quantum Fab Anderon Aims to Be the TSMC Of Qubits
IBM is pitching its Quantum Fab Anderon as the foundry of the quantum era, aiming to do for qubits what TSMC did for classical semiconductors: manufacture advanced quantum processors at scale for the wider industry. The facility is meant to solve one of quantum computing's biggest bottlenecks, the lack of reliable, high-volume chip production, and could position IBM as the central supplier as quantum hardware demand grows.
- 19Quantum computing shifts toward practical commercial use●Recent developments in # Quantum # Computing have shifted the focus toward practical commercial utility through hybrid q
Quantum computing is moving from research promise toward practical commercial applications. Recent developments highlight hybrid quantum-classical supercomputing architectures, improved logical qubit error correction, and scaling hardware platforms such as neutral-atom systems. Commenters frame the shift as the field entering a phase focused on real utility for industry rather than pure experimentation.
- 20Quantum Meets AI Supercomputing: Beyond Great Qubits●Bringing Quantum Into AI Supercomputing Needs More Than Great Qubits.
Quantum computing firm Alice & Bob argues that integrating quantum processors into AI supercomputing will require more than high-quality qubits. The company highlights challenges beyond raw hardware performance, such as system integration, error correction and software infrastructure, as key to making quantum practical for large-scale AI workloads.
- 21VTT Names Jani Kivioja Head of Quantum Research▼VTT Appoints Jani Kivioja to Lead Quantum Technologies Research
VTT Technical Research Centre of Finland has appointed Jani Kivioja to lead its quantum technologies research. The move puts Kivioja in charge of one of Europe's active national quantum programmes, covering areas such as superconducting qubits and quantum computing development. News of the appointment was reported by quantum industry media, drawing attention from followers of Finland's growing quantum sector.