Quantum computing research earns professor prestigious Cottrell Scholar Award Yizhi You, an assistant physics professor, was named a Cottrell Scholar, which is bestowed on promising early-career academics studying chemistry, physics or astronomy. Since coming to Northeastern in 2022, Yizhi You has focused her research on a broad range of subjects within the realm of quantum many-body physics. This includes quantum computing, an emerging field that harnesses principles of quantum physics to create machines that can work faster than a traditional computer. You’s work has won her accolades like the CAREER Award from the National Science Foundation (NSF) which supports early-career faculty members who have the potential to serve as academic role models in research and education. Now, You has a new achievement. The Research Corporation for Science Advancement (RCSA), named You, an assistant physics professor at Northeastern, as one of the 24 recipients of this year’s prestigious Cottrell Scholar Award. This honor bestows promising early-career academics studying chemistry, physics or astronomy in the United States or Canada with research funding and networking opportunities. “This is an exceptional cohort of teacher‑scholars whose innovative work fuels discovery across the physical sciences,” Eric Isaacs, President & CEO of RCSA said in a statement of this year’s cohort. “Their insights and energy will strengthen a 600‑member network of researchers, leaders, and mentors dedicated to pushing the boundaries of knowledge while shaping the future of science and science teaching in the United States and Canada.” You received the award for a research proposal titled “A Route Map to Open Quantum Systems and Mixed States: Insights from Duality,” as part of which she and a team of postdocs will look at a concept in quantum computing called dissipation which is when a quantum system loses information due to its surrounding environment. You said that quantum computing
Mar 31, 2026 · via news.northeastern.edu
Quantum computing is moving from theory to practice, and a new whitepaper warns that major cryptocurrencies need to react much faster than they have so far. The study shows that once a powerful enough quantum computer exists, it could break the cryptography behind Bitcoin, Ethereum and other chains in minutes, putting both long‑dormant and active assets at risk. Singapore Summit: Meet the largest APAC brokers you know (and those you still don't!) Google Quantum AI released a whitepaper, warning that around 2.3 million dormant, vulnerable BTC could become a multi‑billion‑dollar prize the moment a powerful quantum machine comes online. - Options Technology Introduces Quantum Computing Into Market Infrastructure Behind FX and CFDs - Banks Prepare for a Quantum Cypherpunk Future - Quantum Computing and Payment Security Simply, this new research says that once powerful quantum computers arrive, they will be able to “guess” some old Bitcoin keys fast enough to move coins that nobody can currently access, turning a huge pool of forgotten BTC into a prize for whoever gets the technology first. Google Quantum AI released a whitepaper warning that cracking 256-bit ECC, widely used in crypto wallets, requires fewer resources than expected. With under 500k physical qubits, it could be cracked in minutes. Google urged the industry to accelerate its migration to Post-Quantum… pic.twitter.com/DpdSPmYhYc — Wu Blockchain (@WuBlockchain) March 31, 2026 Dormant Bitcoin as a Quantum Time Bomb Technically, the paper estimates that a future “fast‑clock” quantum computer with fewer than 500,000 physical qubits could use Shor’s algorithm to break Bitcoin’s 256‑bit elliptic curve in about nine minutes from a primed state. That speed is comparable to Bitcoin’s average 10‑minute block time, meaning an attacker could potentially intercept some pending transactions and redirect funds before they confirm. Read more: Quantum Computing and Payment Security Google’s team showed, on
Mar 31, 2026 · via financemagnates.com
Theoretical discovery opens the door to building quantum computers with significantly reduced resources Quantum computers of the future may be closer to reality thanks to new research from Caltech and Oratomic, a Caltech-linked start-up company. Theorists and experimentalists teamed up to develop a new approach for reducing the errors that riddle today's rudimentary quantum computers. Whereas these machines were previously thought to require millions of qubits to work properly (qubits being the quantum equivalent to 1's and 0's in classical computers), the new results indicate that a fully realized quantum computer could be built with as few as 10,000 to 20,000 qubits. The need for fewer qubits means that quantum computers could, in theory, be operational by the end of the decade. The team proposes a new quantum error-correction architecture that is significantly more efficient than previous approaches. Quantum error correction is a process by which extra, redundant qubits are introduced to correct errors, or faults, enabling the ultimate goal in the field: fault-tolerant quantum computing. The results exploit special properties of quantum computing platforms built out of neutral atoms, which serve as the qubits. Alternative platforms in development include superconducting circuits and trapped ions (ions are charged whereas neutral atoms are not). In a neutral atom system, laser beams known as optical tweezers are used to arrange atoms into qubit arrays. Manuel Endres, a professor of physics at Caltech, and his colleagues recently created the largest qubit array ever assembled, containing 6,100 trapped neutral atoms. "Unlike other quantum computing platforms, neutral atom qubits can be directly connected over large distances," Endres says. "Optical tweezers can shuttle one atom to the other end of the array and directly entangle it with another atom." This dynamic ability to move atoms is key to the researchers' ultra-efficient error-correction scheme, which they describe
Mar 31, 2026 · via caltech.edu
MicroCloud Hologram Inc. Develops FPGA-Based Hardware Abstraction Technology for Quantum Computing Systems Rhea-AI Summary MicroCloud Hologram (NASDAQ: HOLO) launched an FPGA-based hardware abstraction platform for quantum computing on March 31, 2026. The platform implements qubit state storage, phase-shift control, and probability measurement as FPGA logic using fixed-point vector storage, LUT/BRAM lookup tables, CORDIC rotation, and configurable precision trade-offs. HOLO positions this architecture as a lightweight, low-power abstraction layer for quantum algorithm acceleration, quantum control systems, and embedded quantum devices, emphasizing scalability and reduced FPGA resource consumption. Positive - Implements qubit state storage, phase control, and measurement in FPGA logic - Uses fixed-point vector storage to reduce FPGA resource consumption - Employs LUT/BRAM plus CORDIC to enable hardware-level phase-shift operations - Provides configurable precision/resource trade-offs for embedded use cases Negative - Architecture does not attempt full large-scale quantum system simulation - Design trades accuracy for resource efficiency via fixed-point quantization - Limited to single-qubit and small-scale multi-qubit operations in current form Market Reality Check Peers on Argus Peer moves are mixed: NEON up 0.78%, while WBX, LINK, DSWL, and ELTK are down between 1.29% and 7.28%. No peers appeared in the momentum scanner, pointing to stock-specific dynamics for HOLO. Historical Context | Date | Event | Sentiment | Move | Catalyst | |---|---|---|---|---| | Mar 27 | 2025 results filing | Positive | -2.5% | Reported strong 2025 revenue growth and narrower net loss in Form 20-F. | | Mar 13 | Annual loss forecast | Negative | -1.8% | Guided to 2025 net loss driven by investment income fluctuations. | | Mar 04 | QRNN tech update | Positive | +5.1% | Announced hardware-efficient QRNN with superior prediction accuracy and large cash reserves. | | Feb 26 | Quantum AI simulator | Positive | -0.9% | Proposed hybrid CPU–FPGA quantum
Mar 31, 2026 · via stocktitan.net