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Results for “error correction” 14 papers

  1. Energy per answer

    Thermodynamic Feedback Limits on the Scalability of Surface‑Code Quantum Error Correction

    Quantum error correction (QEC) is essential for fault‑tolerant quantum computation, yet the control electronics, wiring, and cryogenic heat load required for each correction cycle generate heat that raises the qubit temperature and thereby increases the intrinsic physical error rate. This creates a…

  2. Energy per answer

    Thermodynamic Scaling Limit of Active Quantum Error Correction

    Active quantum error correction (QEC) underpins fault‑tolerant quantum computation, yet its control circuitry dissipates heat that must be removed by cryogenic infrastructure. A hard scalability limit arises when the localized power density generated by control pulses exceeds the Kapitza thermal…

  3. Energy per answerrev 15 Oct 2026v2.0.1

    Thermodynamic Divergence of Active Quantum Error Correction Overhead: A Kapitza-Limited Feasibility Threshold for Gate-Based Architectures

    Active quantum error correction (QEC) is conventionally analyzed as an algorithmic resource problem: how many physical qubits and gate cycles are needed per logical qubit. We propose a complementary thermodynamic feasibility criterion. In a gate-based architecture, every QEC cycle is driven by…

  4. Energy per answer

    The Resource Burden of Active Quantum Error Correction: A Scaling Analysis of Qubit, Bandwidth, and Energy Overheads

    Active quantum error correction (QEC) protects quantum information only by continuously consuming physical resources: qubits, measurement bandwidth, classical processing, and energy. While the theoretical foundations of QEC are mature, the resource burden of running a code—rather than constructing…

  5. Energy per answerrev 3 Sep 2026v2.0.1

    A Lower Bound on Energy Cost per Logical-Qubit Operation in Surface-Code Quantum Error Correction

    Surface-code quantum error correction translates one logical qubit into a two-dimensional array of physical qubits, and the energy cost of that translation is rarely quantified at the level of a logical operation. This paper specifies a minimal, convention-explicit energy model for a rotated…

  6. Energy per answerrev 3 Sep 2026v2.0.0

    Revising the Joules-per-Compute (JPCUB) Benchmark: Normalizing Energy Efficiency by Logical-Qubit Operations

    Energy benchmarks for quantum processors are usually quoted per physical gate or per physical qubit, figures that hide the dominant cost of a fault-tolerant machine: the error-correction overhead that multiplies physical work by a distance-dependent factor before any logical operation is delivered.…

  7. Energy per answerv1.7.0

    Error Correction Is a Landauer Machine: The Thermodynamic Floor of Quantum Error-Correction Overhead

    Quantum error correction is priced almost exclusively in combinatorial currency: rate, distance, threshold. The physical bill — the energy paid for performing the correction itself — goes unpriced by the field's headline metrics. This paper prices it. Every cycle of active (measurement-based) error…

  8. Energy per answerv0.7.0

    The Qudit Advantage: System-Level Joules-per-Solution Comparison of a Qudit Architecture Against 17 Conventional Qubit Quantum Computing Platforms

    Prior work benchmarked 17 qubit-based quantum computing platforms across the joules-per-solution (JPCUB) energy-efficiency metric. All 17 platforms use two-level quantum systems (qubits). This paper extends the JPCUB framework to qudit architectures — d-level quantum systems — and computes a…

  9. Energy per answer

    Spectral Dynamics and Thermodynamic Stability in the Arithmetic Quantum Framework

    The scalability of fault-tolerant quantum computing is currently obstructed by a “Thermodynamic Wall,” where the entropy generated by active error correction (QEC) cycles scales exponentially with the number of logical qubits. This research addresses the crisis by proposing a transition from active,…

  10. Energy per answerv1.0.1

    Thermodynamic and Informational Bottlenecks of Scalable Fault-Tolerant Quantum Computation

    The promise of fault-tolerant quantum computation rests on its ability to solve certain intractable problems exponentially faster than classical computers. However, this theoretical promise is challenged by a cascade of interconnected physical bottlenecks, where the act of scaling quantum resources…

  11. Energy per answer

    THERMODYNAMIC AND TOPOLOGICAL CONSTRAINTS ON BIOLOGICAL QUANTUM PROCESSING

    This study establishes a rigorous quantitative boundary between engineered quantum systems and biological matter, defined by the thermodynamic cost of information protection. By benchmarking the 2025 Google “Willow” superconducting processor—which requires cryogenic isolation (20 mK) and active…

  12. Energy per answer

    Thermodynamic Viability and the Universality of Feynman Matter

    The dominant paradigm for universal quantum computation, predicated on active error correction, is fundamentally constrained by a thermodynamic wall, a phase transition where the entropy produced by control operations catastrophically overwhelms the system. This study quantifies this constraint,…

  13. Energy per answer

    Thermodynamics of Structural Persistence (Topological Memory)

    The prevailing paradigm in quantum information preservation—active intervention—relies on continuous, energy-intensive error correction cycles to suppress entropic decay. This approach faces a fundamental scaling limitation: the latency horizon, where the time delay of the control loop exceeds the…

  14. Energy per answer

    Autonomous Dissipative Quantum Processing

    Current quantum computing architectures face a thermodynamic bottleneck where the energy cost of classical error correction scales superlinearly with system size. Reliance on exogenous classical control imposes a latency and power penalty that renders hybrid paradigms unscalable for exascale…

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