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IBM Quantum Computers: Evolution, Performance, and Future Directions

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arxiv 2410.00916 v1 pith:XIAYRMJ6 submitted 2024-09-17 quant-ph cs.AIcs.AR

classification quant-phcs.AIcs.AR
keywords quantumcomputingcomputersevolutionhardwareacrossadvancementsperformance
verification ladder T0 review T1 audit T2 compute T3 formal
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Quantum computers represent a transformative frontier in computational technology, promising exponential speedups beyond classical computing limits. IBM Quantum has led significant advancements in both hardware and software, providing access to quantum hardware via IBM Cloud since 2016, achieving a milestone with the world's first accessible quantum computer. This article explores IBM's quantum computing journey, focusing on the development of practical quantum computers. We summarize the evolution and advancements of IBM Quantum's processors across generations, including their recent breakthrough surpassing the 1,000-qubit barrier. The paper reviews detailed performance metrics across various hardware, tracing their evolution over time and highlighting IBM Quantum's transition from the noisy intermediate-scale quantum (NISQ) computing era towards fault-tolerant quantum computing capabilities.

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Cited by 9 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. High-level quantum structured programs as quantum registers compositions

    quant-ph 2026-08 conditional novelty 6.0 of 10

    A formal framework for structured quantum programming where operations act on entire quantum registers, demonstrated by a quantum SMT solver prototype.

  2. Multi-Controlled Quantum Gates in Linear Nearest Neighbor

    quant-ph 2025-05 conditional novelty 6.0 of 10

    Multi-controlled X and SU(2) gates on linear-nearest-neighbor qubit arrays require at most 4k+8n-16 and 4k+8n-14 CNOT gates, respectively, improving earlier bounds.

  3. Emulation of Entanglement Distribution Networks on a Quantum Computer

    quant-ph 2026-07 conditional novelty 5.0 of 10

    Mathematically equivalent depolarizing-noise implementations produce markedly different results when emulating an entanglement distribution network on real quantum hardware.

  4. A Physics-Informed Neuro-Fuzzy Framework for Quantum Error Attribution

    quant-ph 2026-02 reject novelty 5.0 of 10

    An ANFIS classifier with a Bhattacharyya-distance veto reports 89.5% effective accuracy separating quantum hardware noise from software bugs, but its main features presuppose the ground-truth circuit and its veto thre...

  5. Multi-FPGA Synchronization and Data Communication for Quantum Control and Measurement

    quant-ph 2025-06 conditional novelty 5.0 of 10

    A multi-FPGA clock synchronization and fiber data communication framework for the QubiC control stack passes bench tests, keeping three boards synchronized for 16 hours and enabling cross-board feed-forward at about 1600 ns.

  6. Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction

    cs.ET 2025-09 conditional novelty 4.0 of 10

    A hybrid quantum-classical network matches or slightly beats classical baselines on protein-ligand binding affinity prediction while using fewer parameters.

  7. Universal Fluctuations in the Tail Probability for d=2 Random Walks in Space-Time Random Environments

    cond-mat.stat-mech 2025-08 reject novelty 4.0 of 10

    The reported d=2 random-walk universality result is unsupported: the full text is a quantum federated learning survey that never mentions random walks, tail probabilities, or lambda_ext.

  8. Quantum Simulation of Molecular Dynamics Processes -- A Benchmark Study Using Classical Simulator and Present-Day Quantum Hardware

    quant-ph 2025-07 conditional novelty 4.0 of 10

    A benchmark showing that split-operator quantum circuits reproduce classical molecular dynamics on simulators but fail on today's noisy hardware.

  9. 1D Cluster State Generation On Superconducting Hardware

    quant-ph 2025-08 conditional novelty 3.0 of 10

    A 4-qubit linear cluster state forms under a tuned Ising-type Hamiltonian at revival times t = (2n+1)π/g, and simulations show T2 dephasing degrades its fidelity faster than T1 relaxation.

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