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epj-conferences.org
article
https://www.epj-conferences.org/articles/epjconf/abs/2026/16/epjconf_quick202…
Volume 360 (2026) EPJ Web Conf., 360 (2026) 01013 Abstract. EPJ Web Conf., 360 (2026) 01013 Abstract. ## Low-Overhead Quantum Error Correction Codes for Noisy Intermediate-Scale Quantum Devices. 3 Department of CSE, Sree Rama Engineering College (Autonomous), Andhra Pradesh, India. Noisy Intermediate-Scale Quantum (NISQ) devices represent current quantum computing technology with 50-1000 qubits operating without comprehensive fault-tolerant error correction. Conventional quantum error correction codes require 10:1 to 1000:1 qubit ratios and syndrome extraction circuits exceeding 50 gates, consuming entire NISQ capacities. Our approach combines three elements: optimised stabiliser codes which get qubit ratios of 3:1 to 10:1, adaptive syndrome extraction which works with circuits with less than 20 gates and machine learning-enhanced decoding which is specific to the noise profiles of the hardware. Break-even performance achieved at 0.8% physical error rates establishes practical pathways for near-term quantum advantage in variational algorithms and quantum simulation applications. *© The Authors, published by EDP Sciences, 2026*. ### EPJ Web of Conferences.
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academia.edu
research
https://www.academia.edu/164908782/QUANTUM_ERROR_CORRECTION_STRATEGIES_FOR_FA…
Quantum computers in the noisy intermediate-scale quantum (NISQ) era operate with limited qubit counts, imperfect gates, and significant
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etnano.com
research
https://etnano.com/index.php/journal/article/view/185
# Limitations of quantum error correction in noisy intermediatescale quantum (nisq) systems. Bazeer Ahamed University of Technology and Applied Sciences, College of Computing and Information Sciences, Al Mussanah, Sultanate of Oman Author. Quantum error correction, Noisy Intermediate-Scale Quantum, Qubit. Study of the Issue Quantum error correction (QEC) is crucial yet incurs significant qubit overhead costs.The current QEC codes lack sufficient efficiency for near-term devices. While traditional quantum error correction codes, such as the surface code, are theoretically resilient, they often require significant qubit overhead and complex management systems that exceed the hardware capabilities of NISQ-era devices. This document examines the constraints of existing quantum error correction (QEC) codes, which are crucial for preserving the fidelity of quantum computations yet require substantial qubit resources. This study examines the shortcomings of current Quantum Error Correction (QEC) codes in relation to Noisy Intermediate-Scale Quantum (NISQ) devices and explores alternative strategies to create more efficient, low-overhead QEC frameworks appropriate for imminent quantum technologies. Limitations of quantum error correction in noisy intermediatescale quantum (nisq) systems.
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simula-uib.com
article
https://simula-uib.com/project/noisy-intermediate-scale-quantum-error-correct…
By analyzing concrete noise models, finite-blocklength codes, and practical decoding strategies, NISQEC aims to clarify which approaches can provide meaningful
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pure.uva.nl
article
https://pure.uva.nl/ws/files/188758014/Benchmarking_noisy_intermediate_scale_…
To have any hope of doing so, we must layer contemporary resource reduction techniques with best-in-class error mitigation methods; in particular, we combine the techniques of qubit tapering and the contextual subspace variational quantum eigensolver with several error mitigation strategies comprised of measurement-error mitigation, symmetry verification, zero-noise extrapolation, and dual-state purification. As such, we benchmark the following: (i) Measurement-error mitigation (MEM)—IV B, (ii) non-Z2 symmetry verification (SV)—IV C, (iii) zero-noise extrapolation (ZNE)—IV D, (iv) dual-state purification (DSP)—IV E, (v) tomography purification (TP) applied to DSP, including every possible combination given by the compati-bility matrix in Fig. 1. E. Results In Table IV we report the results of benchmarking our suite of error mitigation strategies for the 3-qubit HCl problem across every 27-qubit system currently available to us through IBM Quantum with a shot budget of B = 106; the order in which each QEM technique (MEM, SV, ZNE, DSP, TP) ap-pears in the combined strategy identifier indicates the order in which each method is being applied.
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en.wikipedia.org
article
https://en.wikipedia.org/wiki/Noisy_intermediate-scale_quantum_computing
These processors, which are sensitive to their environment (noisy) and prone to quantum decoherence, are not yet capable of continuous quantum error correction.
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link.aps.org
article
https://link.aps.org/doi/10.1103/PhysRevA.105.062604
We use density-matrix simulations to study the performance of three distance three quantum error correction (QEC) codes in the context of the rare-earth (RE)
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indusedu.org
article
https://www.indusedu.org/pdfs/IJREISS/IJREISS_4666_75647.pdf
Nagalakshmi and Sreeshylam Rasula, International Journal of Research in Engineering, IT and Social Sciences, ISSN 2250-0588, Impact Factor: 6.565, Volume 16 Issue 01, January 2026, Page 1-11 http://indusedu.org Page 3 This work is licensed under a Creative Commons Attribution 4.0 International License highlights practical constraints such as measurement latency, leakage, correlated noise, and crosstalk, and explains how these constraints shape code choice, syndrome circuit design, and decoder architecture. QEC strategies for NISQ-era fault tolerance Strategy Encoding medium Strengths Limitations Best-fit NISQ use Surface code 2D qubit lattice High threshold; local checks Large qubit overhead Logical-qubit demos; scalable layouts Color code 2D lattice Transversal Clifford gates Harder decoding; checks Architectural exploration; Clifford-heavy tasks Concatenated codes Qubits (layers) Systematic FT constructions Higher overhead; circuit depth Small logical qubits; theory benchmarks Bosonic (cat/GKP) Oscillator modes Hardware-efficient; biased noise Complex control; ancilla needs Cavity platforms; bias-tailored FT qLDPC Sparse checks Asymptotically Connectivity/check Future architectures; M.