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CliNR Quantum LDPC Codes Unlock 3× Faster Joint Logical Measurements
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CliNR Quantum LDPC Codes Unlock 3× Faster Joint Logical Measurements

IonQ Inc. researchers have achieved a nearly three-fold increase in the speed of measuring commuting logical operators using a new approach to quantum low-density parity-check (LDPC) codes. The work addresses a key bottleneck in fault-tolerant quantum computation by streamlining operations on logical qubits within the same encoded block. The key ingredient is a scheduler code determining the measurement sequence and allowing for the decoding of all logical measurement outcomes. Numerical simulations with the LDPC codes Q70 and Q102 show a speed-up of nearly 3× over Viterbi measurements for the measurement of commuting logical operators. Combining these fast logical measurements with a new variant of the CliNR partial error correction scheme enables a speed-up of up to 74× for random Clifford circuits. This approach also applies to non-Clifford gates, producing a speed-up of up to 5× for Toffoli gates. For each logical measurement, a new code is formed, merging the memory with the resource state. The exact protocol is easy to understand by inspecting the circuit without additional formalism. Quantum LDPC Codes and Logical Qubit Encoding A significant advance in fault-tolerant quantum computation has been achieved through a novel approach to logical qubit encoding. Unlike the substantial qubit overhead of surface codes, LDPC codes encode multiple logical qubits within the same physical block, a characteristic that previously presented challenges to operational speed. This work directly addresses that bottleneck. By utilizing only cat states, each interacting with the memory for a single time step before measurement, this new technique circumvents previous limitations requiring complex resource states. Numerical simulations using LDPC codes Q70 and Q102 of the walking cat architecture revealed a nearly 3× speed-up over Viterbi measurements for the measurement of commuting logical operators. The approach extends to non-Clifford gates, achieving up to a 5× speed-up for T

Aug 8, 2026

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Ising Models Simulate Majorana Fermions in Black Hole Spacetime
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quantum-computing

Ising Models Simulate Majorana Fermions in Black Hole Spacetime

Researchers at the National Institute of Physics, University of the Philippines Diliman, have found that transverse-field Ising models, systems of interacting quantum spins, can effectively simulate Majorana fermions within the curved spacetime surrounding a Schwarzschild black hole. The study finds that four distinct mathematical representations of this spacetime, Schwarzschild, tortoise, Kruskal, and conformally flat, each map onto a different microscopic Ising spin model, yet all converge to the same Majorana field theory. This convergence, described as exhibiting an emergent form of general covariance, provides a rare example of a fundamental symmetry of general relativity arising as an emergent property of a condensed matter system. The authors further demonstrate how black hole particle production can be simulated and detected through spin correlation measurements, and discuss experimental platforms capable of realizing these models. The work establishes a practical route for investigating fermionic quantum field theory in curved spacetime using controllable quantum many-body systems and tabletop experiments. The assertion that distinct mathematical descriptions of the same physical spacetime can map onto fundamentally different microscopic models is now being validated through novel quantum simulations. This unexpected connection highlights a deep relationship between the mathematical tools used to describe spacetime and the underlying physical models that govern its behavior. This work builds upon the understanding that quantum field theory (QFT) emerges universally as an effective low-energy description of a broad class of quantum many-body systems. A new approach detailed in recent work suggests a pathway toward tabletop experiments utilizing condensed matter systems as analog gravitational environments. This work builds on previous findings, demonstrating how the Unruh effect can emerge in spin models representing an expanding universe. Their work details

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Researchers Map the Hidden 3D Geometry of a Quantum Wavefunctionquantum-computing

Researchers Map the Hidden 3D Geometry of a Quantum Wavefunction

An illustration of how researchers used state-of-the-art photoelectron spectroscopy (left-hand side) with a lab-based soft-X-ray light source that provides ultrashort light pulses, which was combined with powerful mathematical algorithms, to image the wavefunction of electron orbitals (right-hand side). Credit: Lukas KrollPhysicists at Göttingen University imaged three-dimensional wave functions using a tabletop soft X-ray laser.An electron inside a molecule does not occupy one fixed point. Quantum mechanics instead describes it through a “wavefunction,” a mathematical map that gives the probabilities of properties such as position and momentum.Within molecules, these electron wavefunctions are known as “molecular orbitals.” Their shapes contain information about how a molecule may absorb light, interact with its surroundings, or undergo a chemical reaction.Capturing the complete three-dimensional wavefunction would therefore give researchers a powerful view of molecular behavior. Yet producing such an image has remained a major experimental challenge.An interdisciplinary group at the University of Göttingen has now imaged the three-dimensional wavefunction of a nanometer-sized organic molecule. By combining advanced photoelectron spectroscopy with mathematical algorithms, the researchers reconstructed details at scales smaller than the distance between neighboring carbon atoms. The results were published in Nature Communications.An indirect method reconstructs the orbital“The wavefunction is a fundamental quantity in quantum mechanics, yet it cannot be directly observed or measured,” explains Professor Stefan Mathias at the University of Göttingen.The researchers instead used photoelectron spectroscopy, an indirect technique that measures the momentum of electrons emitted from a molecule. Those measurements revealed one half of the wavefunction without physically changing its state.One of the 3D wavefunction photographs, here showing the highest-occupied molecular

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QC Ware calculates enzyme energy with hybrid quantum-classical methodquantum-computing

QC Ware calculates enzyme energy with hybrid quantum-classical method

QC Ware reports demonstrating a hybrid quantum-classical workflow by combining its Promethium software with IBM’s 156-qubit Heron superconducting quantum processor. The demonstration calculated electrostatic interaction energy for nitric oxide reductase, a chemically complex metalloenzyme system relevant to drug discovery, catalysis, and materials science. “This demonstration shows how classical and quantum computing can be combined to address meaningful computational chemistry problems,” said Dr. Kin-Joe Sham, Co-Founder and COO at QC Ware. This work highlights how Promethium can integrate with quantum hardware for scientifically relevant calculations. Promethium and IBM Quantum Calculate Nitric Oxide Reductase Energy IBM’s 156-qubit Heron superconducting quantum processor recently powered a workflow that calculated the electrostatic interaction energy of a complex biological molecule, marking a step toward utilizing increasingly powerful quantum hardware for practical scientific challenges. This work demonstrates a targeted application of combined computing, rather than a general proof-of-concept, and builds upon QC Ware’s prior research in the field. Researchers leveraged Promethium’s GPU-native architecture, which enables calculations on larger molecular systems and a greater number of compounds than previously possible, achieving speed increases of up to 20 times compared to conventional platforms for select workloads. This accelerated processing allows scientists to generate molecular-level insights in hours instead of weeks, significantly speeding up decision-making processes in several key scientific areas. The team’s focus on nitric oxide reductase highlights their commitment to tackling challenging molecular systems relevant to real-world applications. According to QC Ware, Promethium not only delivers high-performance computational chemistry but also provides a foundation for exploring future hybrid workflows that integrate quantum computing more deeply i

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Rigetti Computing, Inc. (RGTI) Q2 2026 Earnings Call Transcriptquantum-computing

Rigetti Computing, Inc. (RGTI) Q2 2026 Earnings Call Transcript

SA Transcripts161.64K FollowersFollow Rigetti Computing, Inc. (RGTI) Q2 2026 Earnings Call August 6, 2026 5:00 PM EDT Company Participants Subodh Kulkarni - CEO, President & DirectorJeffrey Bertelsen - Chief Financial Officer Conference Call Participants Brian Kinstlinger - Alliance Global Partners, Research DivisionSreekrishnan Sankarnarayanan - TD Cowen, Research DivisionTroy Jensen - Cantor Fitzgerald & Co., Research DivisionJohn McPeake - Rosenblatt Securities Inc., Research DivisionShadi Mitwalli - Needham & Company, LLC, Research DivisionTyler Perry Anderson - Craig-Hallum Capital Group LLC, Research DivisionGary MobleyNehal Chokshi - Northland Capital Markets, Research Division Presentation Operator Good day, and thank you for standing by. Welcome to the Rigetti Computing Second Quarter 2026 Financial Results Conference Call. [Operator Instructions] Please be advised that today's conference is being recorded. I would now like to hand the conference over to your first speaker today, Subodh Kulkarni, CEO of Rigetti. Please go ahead. Subodh KulkarniCEO, President & Director Good afternoon, and thank you for joining us for Rigetti's Second Quarter 2026 Earnings Conference Call. I'm pleased to be joined today by our Chief Financial Officer, Jeffrey Bertelsen who will walk you through our financial results in more detail following my overview. We appreciate your continued interest in Rigetti and look forward to answering your questions at the conclusion of our prepared remarks. Before we begin, I would like to remind everyone that today's call, along with our second quarter 2026 press release, contains forward-looking statements. These statements reflect our current expectations, objectives and underlying assumptions regarding our outlook and future operating results and are subject to risks and uncertainties that could cause actual results to differ materially from those anticipated. These risks and uncertainties are described in more detail in our

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