Quantum Error Correction Innovations

🚨 Exciting #quantumcomputing alert! Now #QEC primitives actually make #quantumcomputers more powerful! 75 qubit GHZ state on a superconducting #QPU 🚨 In our latest work we address the elephant in the room about #quantumerrorcorrection - in the current era where qubit counts are a bottleneck in the systems available, adopting full-blown QEC can be a step backwards in terms of computational capacity. This is because even when it delivers net benefits in error reduction, QEC consumes a lot of qubits to do so and we just don't have enough right now... So how do we maximize value for end users while still pushing hard on the underpinning QEC technology? To answer this the team at Q-CTRL set out to determine new ways to significantly reduce the overhead penalties of QEC while delivering big benefits! In this latest demonstration we show that we can adopt parts of QEC -- indirect stabilizer measurements on ancilla qubits -- to deliver large performance gains without the painful overhead of logical encoding. And by combining error detection with deterministic error suppression we can really improve efficiency of the process, requiring only about 10% overhead in ancillae and maintaining a very low discard rate of executions with errors identified! Using this approach we've set a new record for the largest demonstrated entangled state at 75 qubits on an IBM quantum computer (validated by MQC) and also demonstrated a totally new way to teleport gates across large distances (where all-to-all connectivity isn't possible). The results outperform all previously published approaches and highlight the fact that our journey in dealing with errors in quantum computers is continuous. Of course it isn't a panacea and in the long term as we try to tackle even more complex algorithms we believe logical encoding will become an important part of our toolbox. But that's the point - logical QEC is just one tool and we have many to work with! At Q-CTRL we never lose sight of the fact that our objective is to deliver maximum capability to QC end users. This work on deploying QEC primitives is a core part of how we're making quantum technology useful, right now. https://lnkd.in/gkG3W7eE

🚀 From Theory to Hardware: QMM-Enhanced Error Correction in the News 📰 I am very happy to see our recent work on Quantum Memory Matrix (QMM)- enhanced error correction featured in Quantum Zeitgeist. 🔍 Why it matters Error correction is the bottleneck in quantum computing. Most approaches require more qubits and additional operations, introducing overhead that current devices struggle to handle. Our QMM layer offers a new path: an ultra-shallow, measurement-free error-suppression mechanism that improves logical fidelity without adding complexity. 🧠 What it is The QMM framework treats space-time (or in this case, the processor lattice) as a grid of finite-capacity "memory cells" that can imprint, store, and later retrieve quantum information reversibly. On real hardware, this method boosted the performance of a standard repetition code by 32%, purely through reversible imprint/retrieval cycles. This is one milestone in a much larger program: 🕳️ QMM for black hole information retention and unitarity restoration ⚡ QMM extensions to electromagnetism, strong & weak interactions 🌌 Cosmological applications explaining dark matter and dark energy 💻 And now: direct hardware validation for quantum computation 📄 Link to publication: https://lnkd.in/gpDrgEtx 📄 Link to news article: https://lnkd.in/gCbwpRac 🌐 This is just the beginning. QMM was born in fundamental physics, but it’s proving its worth in practical quantum technologies today. Terra Quantum AG, Eike Marx, Valerii Vinokur, Jeff Titus #QuantumComputing #QuantumMemoryMatrix #ErrorCorrection #QuantumPhysics #QuantumTechnology #QuantumInformation #BlackHolePhysics #DarkMatter #DarkEnergy #AdvancedQuantumTechnologies #TerraQuantum #QuantumResearch

Quantum Error Correction: Major Breakthroughs in the Past Year 🚀 The past year has been remarkable for quantum computing, with groundbreaking progress in quantum error correction (QEC) bringing us closer to realizing fault-tolerant quantum computers. Across various architectures, the advancements have been truly inspiring: 🔹 Neutral-Atom Systems: QuEra Computing Inc. & Harvard University (https://lnkd.in/dPxA2NuH), as well as with Atom Computing & Microsoft (https://lnkd.in/dV7s3Gd2), demonstrated scalable logical quantum computations and reliable qubit operations using reconfigurable neutral-atom arrays with up to 256 atoms. 🔹 Superconducting Qubits: IBM Quantum (https://lnkd.in/dzaJH6vA) and Google's Quantum AI (https://lnkd.in/dR-CTUGm) reached a major milestone with surface code quantum memory, operating below the error-correction threshold on a 100+ qubit superconducting processor. 🔹 Trapped-Ion Systems: Quantinuum & Microsoft (https://lnkd.in/d5fPzcVU) set a new standard for reliability in logical qubits with Quantinuum’s 56 qubit H2 system, advancing the precision and scalability of trapped-ion quantum processors. 🔹 Cat Qubits: Amazon Web Services (AWS) & Caltech (https://lnkd.in/d3HRd86s) developed hardware-efficient QEC using concatenated bosonic qubits, reducing the physical qubit overhead and advancing the field of fault-tolerant quantum computation.  Why it matters:❓ These achievements represent more than technological milestones—they signify a paradigm shift. The timelines for realizing fault-tolerant quantum computers are accelerating, underscoring the rapid progress across quantum architectures. #QuantumComputing #QuantumInnovation #QuantumErrorCorrection #FutureOfComputing