Quantum News
Sign InSign Up

Quantum Computing

Core quantum computing developments, breakthroughs, and innovations

26,462 ArticlesUpdated Daily
Showing 12 of 26,462 articles
EPB Commissions IonQ Forte Enterprise Quantum Computer in Chattanooga Hub - Quantum Computing Reportquantum-computing

EPB Commissions IonQ Forte Enterprise Quantum Computer in Chattanooga Hub - Quantum Computing Report

EPB Commissions IonQ Forte Enterprise Quantum Computer in Chattanooga Hub Municipal utility provider EPB has officially launched the IonQ Forte Enterprise trapped-ion quantum computer at the downtown EPB Quantum Center in Chattanooga, Tennessee. The deployment establishes the facility as the first commercial hub in the United States to integrate trapped-ion quantum processing units (#AQ 36) alongside photonics-based quantum networking infrastructure under a single operational roof. Initial computational access is prioritized for the EPB Quantum Computing Fellows—an eight-member graduate research team supported by a $4 million National Institute of Standards and Technology (NIST) grant—to run algorithms designed to optimize circuit topologies, reduce power losses, and enhance resilience across EPB’s automated smart grid. Commercial service access, branded as EPB Quantum Computing℠, opens in early October 2026, with the University of Tennessee at Chattanooga (UTC) and Vanderbilt University serving as anchor academic clients. [ Chattanooga Quantum Infrastructure & Economic Ecosystem Matrix ]Partner EntityFacility / Investment ProgramOperational Scope & DeliverablesIonQ• $15 Million Investment• TN Quantum Communications Research Center• On-premises #AQ 36 QPU deployment• Quantum research and engineering hiringEPB, ORNL, NVIDIA, & IonQ• Hybrid Quantum-Classical Computing Hub• On-Premises NVIDIA DGX Supercomputer• Smart grid circuit loss minimization• High-performance hybrid algorithm testingVanderbilt University & UTC• Institute for Quantum Innovation• Academic & Workforce Expansion• 250+ researchers at Vanderbilt campus• UTC quantum network research node The hardware launch is accompanied by regional workforce and academic initiatives, including the Energy and Quantum Industries Academy at the Franklin-Roberts Future Ready Center (targeting 400 high school students annually by 2028) and the state-piloted TN QuantumWorks K–12 curriculum. EPB will also

Google News – Quantum ComputingLoading...0
Researchers Extend Quantum Codes to Realise Multiple Rotations with Added Qubitsquantum-computing

Researchers Extend Quantum Codes to Realise Multiple Rotations with Added Qubits

The Indian Institute of Science has developed an appending construction technique that extends existing Calderbank-Shor-Steane (CSS) codes by adding physical qubits. It enables realisation of multiple desired logical Z-rotations via transversal physical Z-rotations; previously CSS codes could only realise single-qubit and multi-qubit controlled-Z rotations in this way. The resulting CSS code takes the form [[(n −1)l, l, ≥d −1]], where ‘n’ represents the number of physical qubits used to achieve these improvements. K. Sai Mineesh Reddy and Navin Kashyap at the Institute of Science have created a new method for expanding quantum error correction codes which protect information from disruption during processing. This innovation allows more complex operations without needing frequent adjustments, a process known as ‘code switching’, by adding extra physical qubits and carefully controlling their interactions. The appending construction builds upon established CSS codes to support multiple types of calculations using only straightforward rotations of those added qubits. K. Like using redundancy in data storage to prevent corruption, Calderbank-Shor-Steane (CSS) codes encode information across multiple physical qubits allowing detection and correction of errors. The team’s appending construction adds extra physical qubits and controls their interactions enabling more complex operations without frequent ‘code switching’, which alters how calculations are performed. This method allows realisation of several desired logical Z-rotations, fundamental operations on quantum bits analogous to logic gates in conventional computing but operating with probabilities, through simple rotations applied only to those added qubits. Appending constructions unlock arbitrary logical Z-rotations in CSS quantum error correction The Institute of Science has demonstrated an innovative method for expanding quantum error correction codes.

Quantum ZeitgeistLoading...0
Naples Team Cuts CNOT Gates in Clifford Circuitsquantum-computing

Naples Team Cuts CNOT Gates in Clifford Circuits

Quantum circuits, particularly those used in error correction, previously involved unnecessarily complex operation sequences with high gate counts. Daniele Lizzio Bosco and colleagues from University of Udine have created AlphaClifford, a Reinforcement Learning framework which synthesises and simplifies these circuits by modelling their underlying algebraic properties. This approach consistently reduces both total gate count and two-qubit gates, essential components for entanglement, while operating using only the Hadamard, Phase, and CNOT gate set. A new technique for designing quantum circuits now reduces the number of operations required without compromising performance. This optimisation tackles a key hurdle in constructing practical machines by lessening demands placed upon limited physical components; complex calculations require many gates that are difficult to build reliably. The team unveiled AlphaClifford, streamlining complex calculations by reducing the necessary operation numbers. This optimisation addresses a vital challenge because building reliable quantum computers demands minimising strain on physical components as intricate computations require numerous gates within the system. To achieve this, Daniele Lizzio Bosco and colleagues employed Reinforcement Learning, a trial-and-error process akin to training an animal with rewards, allowing an artificial intelligence agent to learn optimal sequences through repeated attempts. They modelled how qubits interact using what’s known as the symplectic group, essentially the grammar dictating valid combinations of instructions for these systems. Subsequently, they used transpilation, converting complicated commands into simpler ones compatible with hardware limitations much like translating detailed blueprints into buildable designs.

Quantum ZeitgeistLoading...0
EPB launches $22M quantum computer to solve grid problems, boost economy - timesfreepress.comquantum-computing

EPB launches $22M quantum computer to solve grid problems, boost economy - timesfreepress.com

EPB launched a $22-million quantum computer Friday morning, making Chattanooga's municipal utility the first company in the world to combine commercial quantum computing and quantum networking in one center.The computer, the IonQ Forte Enterprise, sits behind glass at the EPB Quantum Center in what officials said may be the cleanest air in the city. Any dust or other particles in the air can disrupt the computer's fragile laser-based system that processes information through photons, the smallest units of light.Through a $4 million federal grant, EPB hired eight graduate researchers to develop the first algorithms, or problem sets, to run on the computer. The researchers ran their first algorithms Friday, marking the computer's official commissioning. The initial problems involve how EPB can best run its smart electric grid switches to prevent loss of electricity and save customers money.Most quantum computers in the U.S. are sealed away from commercial use at research centers or government laboratories. EPB's quantum work dates back to 2016 through a partnership with Oak Ridge National Laboratory and Los Alamos National Laboratory to study cybersecurity applications for the electric grid.(READ MORE: How EPB harnessed light to become city's strongest selling point)Businesses will be able to pay EPB to use the quantum computer, a piece of next-generation technology that harnesses the strange behavior of the universe's smallest particles to solve problems that classical computers either cannot solve or cannot solve in a practical time frame."This investment we've made, it's not practical for a variety of companies to have made that investment themselves," Robert Long, EPB president of strategic initiatives, said on a tour of the quantum center. "They can rent time on the computer, run their algorithms, see their results, understand those results and toss them back to their offices."Photo GalleryEPB launches $22M quantum computer to solve grid problems, boost economy Q

Google News – Quantum ComputingLoading...0
EPB’s new IonQ Forte Enterprise Quantum Computer opens doors for cutting-edge work - Local 3 Newsquantum-computing

EPB’s new IonQ Forte Enterprise Quantum Computer opens doors for cutting-edge work - Local 3 News

SMS Email Play Video 00:00 00:00 spaceplay / pause qunload | stop ffullscreenshift + ←→slower / faster ↑↓volume mmute ←→seek . seek to previous 12… 6 seek to 10%, 20% … 60% XColor SettingsAaAaAaAaTextBackgroundFont SettingsSize||TypeSerif MonospaceSerifSans Serif MonospaceSans SerifCasualCursiveSmallCapsOpacity SettingsTextOpaqueSemi-TransparentBackgroundSemi-TransparentOpaqueTransparentResetSave Settings EPB’s new IonQ Forte Enterprise Quantum Computer opens doors for cutting-edge work EPB commemorated the launch of its IonQ Forte enterprise quantum computer Friday. https://www.local3news.com/local-news/epb-s-new-ionq-forte-enterprise-quantum-computer-opens-doors-for-cutting-edge-work/article_905044e4-3621-454e-958c-6af59d1c752f.html Show more Show less Video1:21 Image Video1:21 Image Facebook Twitter WhatsApp SMS Email Print Copy article link Save Facebook Twitter WhatsApp SMS Email Print Copy article link Save Google Add us to your Google preferred sources What is a “Google Preferred Source”? EPB commemorated the launch of its IonQ Forte enterprise quantum computer Friday.EPB says quantum computers are able to solve problems today's classical computers can't address—and that quantum infrastructure will give local businesses and researchers access to commercial resources to explore different applications of the technology.Before the unveiling of the computer, today's event featured remarks from Mayor Tim Kelly and Weston Wamp, as well as leaders from EPB and IonQ.EPB CEO Janet Rehberg says, for the first time, they are bringing commercial quantum computing and networking together under one roof at the EPB Quantum Center.

Google News – Quantum ComputingLoading...0
Researchers Bound Phase Gate Creation Time with Polylogarithmic Scalingquantum-computing

Researchers Bound Phase Gate Creation Time with Polylogarithmic Scaling

A new method for creating non-Gaussian phase gates has been developed, key components for achieving universal continuous-variable (CV) quantum computation. The approach utilises qubit-oscillator Rabi control to synthesise polynomial phase gates with interaction times that scale favourably, polylogarithmically, with the desired accuracy. This analytical construction avoids complex numerical optimisation procedures and is readily applicable to larger, more complex quantum systems, demonstrating near optimal efficiency as confirmed by established lower bounds on synthesis time. By successfully simulating CV quantum dynamics and implementing an algorithm solving linear partial differential equations, qubit-oscillator Rabi control is a powerful primitive within CV quantum information processing. Polylogarithmic Scaling Achieves Faster Continuous-Variable Quantum Gate Synthesis Total interaction time for synthesising polynomial phase gates has been reduced to O(log(R−1)/2+o(1/ε)), representing an improvement over previous methods requiring O(1/ε) via Fourier-Trotter approaches or O(log(1/ε)) using QSP control. This advance crosses a critical threshold, enabling potentially faster and more efficient routes toward high precision quantum gate operations within continuous-variable (CV) quantum computation; previously, achieving comparable accuracy demanded substantially longer processing times. Researchers at University of Electronic Science and Technology, in collaboration with Tsinghua University and Yangtze Delta Industrial Innovation Centre of Quantum Science and Technology, demonstrated this polylogarithmic scaling through an analytically constructed Rabi sequence, a series of interactions between qubits and oscillators, avoiding complex numerical optimisation procedures. The team accomplished this by constructing the Rabi sequence analytically, bypassing computationally intensive numerical optimisation typically used for designing such sequences. Furthermore, they estab

Quantum ZeitgeistLoading...0
Graph neural network predicts qubit routing costsquantum-computing

Graph neural network predicts qubit routing costs

Tian Li, Tan Li, and Wansu Bao of Henan Key Laboratory of Quantum Information and Cryptography have developed a graph-based reinforcement-learning framework to address logical qubit allocation, a critical compilation problem for fault-tolerant quantum architectures. The work demonstrates a method for assigning circuit qubits to chip tiles while minimizing the ancilla-qubit cost, the number of extra workspace qubits needed for circuit execution, and maintaining access to essential quantum resources. Evaluated on MQTBench circuits, the allocator reduces average ancilla-qubit cost by 36.7% compared to the ECMAS+ baseline, achieving lower costs in 57 of 64 qubit-size bins and establishing learned allocation as a scalable paradigm. Graph Neural Network Predicts Allocation-Aware Circuit Costs A newly developed graph neural network (GNN) predicts the ancillary qubit costs associated with quantum circuit allocation, offering a significant step toward more efficient use of limited quantum resources. The framework, detailed in recent work, moves beyond traditional circuit mapping by learning to anticipate the demand for these extra workspace qubits, often described as before allocation even begins. This predictive capability stems from pre-training the GNN on a supervised task, estimating ancilla-qubit costs from circuit-allocation pairs represented as allocation-aware circuit graphs. The core innovation lies in fusing circuit structure with the physical geometry of the quantum chip, allowing the model to learn from the relationship between circuit design, tile layout, and the accessibility of these magic states. These magic states are important for universal quantum computation, and their efficient utilization directly impacts the overall qubit overhead. The GNN learns to create a cost-sensitive embedding of circuit-allocation pairs, capturing the complex interplay between these factors.

Quantum ZeitgeistLoading...0
FQXi finds Schrödinger’s cat in a box models quantum events in spacetimequantum-computing

FQXi finds Schrödinger’s cat in a box models quantum events in spacetime

Humans search for explanations with relentless curiosity; a query of returns over 530 million Google results. Raphael Bousso at the University of California, Berkeley, is attempting to quantify this innate drive, tackling a fundamental problem in physics where quantum calculations predict an infinite amount of activity within spacetime. Bousso is using gravity to resolve this contradiction, potentially leading to a theory of quantum gravity and a better understanding of black holes, a pursuit made more pressing by the February 2016 detection of gravitational waves. “We want to know how to describe our universe, we want to know how did that start,” says Bousso. Entanglement Entropy and Quantum Decoherence in Schrödinger’s Cat Bousso, supported by a grant exceeding $140,000 from the FQXi, is examining how this quantity changes as a quantum system interacts with its environment, even with just a few photons of heat capable of initiating the decoherence process. This investigation aims to move beyond simply acknowledging decoherence and towards quantifying the degree of interaction between a system and its surroundings. Calculating entanglement entropy presents a significant challenge; attempts to sum all connections between regions inside and outside a quantum system initially yield infinite values. Physicists have previously circumvented these infinities in weak gravity scenarios, allowing for sensible calculations of entanglement entropy and, consequently, decoherence levels. However, Bousso is now questioning what if gravity becomes strong? This line of inquiry focuses on situations where standard methods fail, such as near the center of a black hole or within the confines of extreme gravitational fields. To address this, Bousso proposes combining entanglement entropy with gravitational entropy, a quantity proportional to the surface area of a black hole’s event horizon. He is investigating whether this combined approach can provide a quantifiable measure of events

Quantum ZeitgeistLoading...0
Quantum materials could cut AI data centre energy usequantum-computing

Quantum materials could cut AI data centre energy use

Driven by a passion sparked by pop-science and YouTube videos, PhD student Jean-Félix Milette is researching quantum materials that could dramatically reduce the energy demands of artificial intelligence data centres. Milette, the first in his family to attend university, focuses on topological insulators, materials that insulate internally but conduct electricity on their surfaces with unusual resistance to imperfections. “The goal is to continue scaling devices down while maintaining or even increasing performance and efficiency,” Milette explains, envisioning a future where less heat generation translates to reduced energy consumption and freshwater use in AI systems. In fall 2026, Milette will further his work at Oak Ridge National Laboratory through a competitive research internship. Topological Insulators Enable Efficient Quantum Memory Topological insulators present a unique pathway to enhanced magnetic random-access memory (MRAM), potentially overcoming limitations in conventional RAM designs. These quantum materials insulate internally but allow electrical current to flow unimpeded along their surfaces, a characteristic stemming from their distinct electronic structure; this surface conductivity remains remarkably stable even with material imperfections that typically impede electron flow. Jean-Félix Milette and colleagues are combining these materials with magnetic layers to create a prototype MRAM device, aiming to reduce energy consumption in data storage. The unusual resistance to imperfections is critical because smaller devices require increasingly precise manufacturing, and topological insulators offer a degree of robustness against these challenges. By minimizing heat generation within memory devices, the need for extensive cooling can be lessened, conserving both energy and a vital natural resource.

Quantum ZeitgeistLoading...0
Uppsala University Implements Qudit Control Via Geometric Phasesquantum-computing

Uppsala University Implements Qudit Control Via Geometric Phases

Universal quantum gates for higher-dimensional qudits are now possible using a new approach extending established techniques for qubits. The method generalises nonadiabatic holonomic quantum computation to utilise a “d-pod” configuration where multiple ground states couple to a single excited state within trapped atoms or ions. Techniques used for quantum calculations broaden applications beyond basic qubits to more complex qudits, offering increased information capacity as the number of units grows. The new approach utilises a “d-pod” configuration connecting multiple ground states to one excited state within trapped atoms or ions, simplifying how operations work. Reducing the steps needed for computation with these enhanced units enables a pathway towards building efficient universal quantum computers. Researchers extend quantum computing beyond basic qubits to utilise higher-dimensional qudits; these systems offer increased information capacity as their complexity increases. Unlike qubits, which exist in two states, qudits can represent more data per unit by having multiple settings. The team generalised established techniques for manipulating quantum particles not by directly forcing them into desired configurations but instead using geometric shapes and paths, similar to guiding water flow around obstacles. This new approach employs what researchers call a “d-pod” configuration, coupling multiple ground states to one excited state within trapped atoms or ions, simplifying computational operations via nonadiabatic holonomic quantum computation. Implementing high-dimensional control via coupled atomic and ionic configurations Nonadiabatic holonomic quantum computation enables precise control through geometric manipulation rather than direct ‘forcing’ of quantum states. The technique uses non-Abelian geometric phases to realise quantum gates, offering an experimentally viable method for manipulating qubits and now qudits, units analogous to light switches with mul

Quantum ZeitgeistLoading...0
Researchers Survey Compilation Designs for Reliable Quantum Computationquantum-computing

Researchers Survey Compilation Designs for Reliable Quantum Computation

Quantum compilers effectively translate complex algorithms into instructions for machines protected by quantum error correction. A thorough design for such compilers details organisation of existing methods across three layers: logical code management, physical implementation on diverse hardware, and real-time decoder integration. Building larger, more reliable quantum computers requires protecting information from errors; this process is akin to adding redundancy in data storage so that if one piece of information is corrupted, it can be reconstructed. The team from institutions including The Hong Kong University of Science and Technology and Shanxi University demonstrate a move beyond simple circuit optimisation towards encoding-aware compilation, key for building scalable fault-tolerant systems. A complete design for quantum compilers translates complex algorithms into instructions suitable for machines utilising quantum error correction. This work organises existing methods across three layers: managing logical code, implementing it on physical hardware like superconducting circuits or trapped ions, and integrating real-time decoding systems. The full-stack approach moves beyond simple circuit optimisation towards encoding-aware compilation, enabling a holistic strategy for scalable fault-tolerant systems. Syndrome extraction enables continuous error monitoring during quantum computations A technique akin to data redundancy continuously monitors quantum operations for errors without directly measuring fragile qubits. The process generates classical information, syndromes, detailing detected faults while avoiding wavefunction collapse and preserving valuable quantum information. By repeatedly performing this ‘health check’ alongside real-time decoding, errors can be identified and corrected before they propagate significantly, enabling reliable logical operations despite imperfect physical components.

Quantum ZeitgeistLoading...0