Today's Quantum Pulse
JPMorgan, OQC and AMD launch joint quantum‑AI data center in London
Oxford Quantum Computing, JPMorgan Chase and AMD announced a collaborative effort to build a colocated quantum‑AI data center in London. The facility will combine OQC’s Genesis quantum processor with AMD’s AI and high‑performance computing hardware to test finance‑focused workloads such as portfolio optimization and quantum machine learning.
QBTS Federal Funding & Uses in Healthcare, Cancer Research #shorts
The video announces a U.S. federal grant to D‑Wave Systems aimed at developing new superconducting manufacturing processes for both its annealing and gate‑model quantum computers. The funding marks the first time the U.S. government has formally endorsed annealing quantum computing alongside the more widely recognized gate‑model approach. The grant will accelerate D‑Wave’s dual‑track program, providing resources to refine superconducting materials and scale production. By supporting both architectures, the partnership seeks to broaden the applicability of quantum hardware across optimization and simulation tasks. Executives highlighted that gate‑model machines excel at molecular discovery, a critical step in drug design and cancer‑therapy development. They argue that quantum‑enhanced simulations could uncover novel compounds and material properties that are currently out of reach for classical computers. If successful, the initiative could give U.S. biotech firms a competitive edge, speed up clinical‑pipeline timelines, and reinforce America’s leadership in the emerging quantum technology sector.
Quantum Circuits Trim LLM Memory Use, Cutting Perplexity 1.4% with 6,000 Parameters
Multiverse Computing demonstrated that inserting quantum circuit modules into Meta's Llama 3.1 8B model reduces perplexity by 1.4% with just 6,000 extra parameters. The hybrid system runs the classical model on a standard computer and the quantum blocks on IBM's...
Japanese Researchers Pinpoint Charge Noise Source, Boost Silicon Qubit Stability
Researchers from Tokyo University of Science and Japan's AIST have identified the microscopic source of charge noise in silicon spin qubits and demonstrated that modest temperature increases cut frequency drift. Their model provides a concrete design blueprint that could slash...
JHU and APL Unveil Seven‑Fold Accurate Noise Model for Superconducting Qubits
Johns Hopkins University and the Applied Physics Laboratory have published a comprehensive noise‑modeling framework for superconducting quantum processors that promises a seven‑fold increase in projected accuracy. The model, validated on 39 cloud‑accessed qubits across seven devices, aims to streamline error...
Quantum Computing: Hype or the Real Deal?
Quantum computing is touted as the next disruptive technology after AI, promising exponential speed‑ups for problems like materials design and cryptography. However, the field remains in a research‑heavy phase, with most hardware still limited to noisy intermediate‑scale quantum (NISQ) devices....
Colocated Quantum-AI: JPMorgan, OQC, and AMD Test Finance
Oxford Quantum Computing, JPMorgan Chase, and AMD have announced a joint research effort to build a colocated quantum‑AI data center in London. The facility will integrate OQC’s Genesis quantum processor with AMD’s AI and high‑performance computing hardware, creating a hybrid...
Robert Wille, Professor at TuM and CEO of Munich Quantum Software Company
In this episode, Robert Wille, a computer‑science professor at the Technical University of Munich and CEO of a Munich‑based quantum‑software startup, discusses the shift of quantum computing from pure research to real‑world applications. He emphasizes the need for hardware‑agnostic software...
Atom Computing Demonstrates Repeatable Error‑Correction on Neutral‑Atom Qubits
Atom Computing announced that its neutral‑atom quantum processor successfully performed repeatable error‑correction cycles, scaling qubit groupings from 16 to 32 while maintaining lower error rates. The breakthrough puts neutral‑atom technology in direct competition with superconducting platforms from Google and IBM.
Funding the Quantum Middle: Series A/B Capital with Kris Naudts and Zeynep Koruturk of Firgun Ventures
In this episode, host Sebastian Hassegher talks with Chris Knott and Zeynep Koruturk, co‑founders of Firgun Ventures, about the funding gap that exists for quantum‑computing startups between seed and later‑stage rounds. Drawing on their experience as early angel investors in...
Oxford Quantum Circuits Lands $350 M in Europe’s Biggest Private Quantum‑computing Round
Oxford Quantum Circuits (OQC) closed a £260 million ($350 million) Series C funding round, the largest private investment ever in European quantum computing. Led by Bullhound Capital and backed by the British Business Bank and other investors, the capital will fund OQC’s expansion...
Chalmers AI ‘Super‑Brain’ Cuts Photonic Simulations 10‑Fold, Boosting Quantum Tech
Researchers at Chalmers University of Technology have launched QNM‑Net, a physics‑educated neural network that reduces photonic material simulation time to one‑tenth of previous runtimes and shrinks data‑generation cycles from a month to three days. The breakthrough promises faster design of...
Quantinuum Raises $1.68 Bn in Nasdaq IPO, Biggest Quantum Listing Yet
Quantinuum completed an upsized Nasdaq IPO that raised $1.68 bn by selling 28 million Class A shares at $60 each, valuing the company at roughly $15.6 bn. The deal, led by J.P. Morgan and Morgan Stanley, sets a new benchmark for quantum‑computing firms and...
Hands‑On Workshop Turns Chip Layouts Into Superconducting Qubits
How do you actually go from a chip layout to a working superconducting qubit? That's the whole point of the Quantum Device Workshop — back at UCLA, June 15–18. Four days, fully hands-on. I'll be teaching. 🚀 https://t.co/iwY1E43ekH
Overview of the Italian Quantum Ecosystem
Italy entered the quantum race later than the U.S. and its European peers, but the 2022‑2025 National Recovery and Resilience Plan injected roughly €140 million ($152 M) to launch a National Center for HPC, Big Data and Quantum Computing and the National...
IBM Quantum Integrates Bivariate Bicycle Formulations with Algebraic Outer Concatenation
IBM Quantum announced a unified architecture that concatenates high‑rate quantum LDPC (qLDPC) bicycle codes with algebraic outer Quantum Reed‑Solomon codes. The design, developed with MIT, treats the 11 data qubits of a 144‑qubit gross bicycle block as a single 2048‑dimensional...
Predictive Surrogates Could Cut Quantum Computing Measurement Overhead by More than 99.97%
Researchers at Henan Key Laboratory and Nanyang Technological University introduced predictive surrogates—classical machine‑learning models that act as digital twins of quantum processors. Trained on a modest dataset from a 42‑qubit superconducting chip, the surrogates can forecast the outcomes of many...