APGEM uses contextual bandits to adaptively select error mitigation techniques during quantum machine learning training, achieving 95.5% of oracle performance across five QML paradigms while intelligently adapting to changing noise conditions.
#QuantumErrorMitigation #QuantumMachineLearning #NISQ
#QuantumErrorMitigation #QuantumMachineLearning #NISQ
Adaptive Policy-Guided Error Mitigation: Learning-Based Framework for Noise Resilience in Quantum Machine Learning
iq.fp2.dev
November 11, 2026 at 8:52 AM
APGEM uses contextual bandits to adaptively select error mitigation techniques during quantum machine learning training, achieving 95.5% of oracle performance across five QML paradigms while intelligently adapting to changing noise conditions.
#QuantumErrorMitigation #QuantumMachineLearning #NISQ
#QuantumErrorMitigation #QuantumMachineLearning #NISQ
Shows how to extrapolate zero-noise transport coefficients despite noise breaking conservation laws. Universal hydrodynamic corrections produce non-analytic γ-dependence, enabling improved error mitigation for NISQ devices.
#QuantumErrorMitigation #NoiseExtrapolation #QuantumSimulation
#QuantumErrorMitigation #NoiseExtrapolation #QuantumSimulation
Zero Noise Extrapolation of Transport Coefficients
arxiv.org
November 5, 2026 at 9:41 AM
Shows how to extrapolate zero-noise transport coefficients despite noise breaking conservation laws. Universal hydrodynamic corrections produce non-analytic γ-dependence, enabling improved error mitigation for NISQ devices.
#QuantumErrorMitigation #NoiseExtrapolation #QuantumSimulation
#QuantumErrorMitigation #NoiseExtrapolation #QuantumSimulation
1/f noise produces a logarithmic bias term in zero-noise extrapolation that standard polynomial methods cannot capture. We derive the r²ln r coordinate and propose PE_log to cancel it, improving quantum error mitigation.
#QuantumErrorCorrection #ZeroNoiseExtrapolation #QuantumErrorMitigation
#QuantumErrorCorrection #ZeroNoiseExtrapolation #QuantumErrorMitigation
Logarithmic Bias of Zero-Noise Extrapolation Under 1/f Noise
iq.fp2.dev
November 3, 2026 at 8:00 AM
1/f noise produces a logarithmic bias term in zero-noise extrapolation that standard polynomial methods cannot capture. We derive the r²ln r coordinate and propose PE_log to cancel it, improving quantum error mitigation.
#QuantumErrorCorrection #ZeroNoiseExtrapolation #QuantumErrorMitigation
#QuantumErrorCorrection #ZeroNoiseExtrapolation #QuantumErrorMitigation
Demonstrates that charge-sharpening phase transitions in quantum circuits survive realistic readout errors, with a detectable minimum in charge fluctuations marking where incomplete postselection attenuates noise-induced mixing.
#QuantumErrorMitigation #MonitoredQuantumDynamics #Research
#QuantumErrorMitigation #MonitoredQuantumDynamics #Research
Readout Errors and Charge Sharpening in Monitored Quantum Circuits
iq.fp2.dev
November 1, 2026 at 7:48 AM
Demonstrates that charge-sharpening phase transitions in quantum circuits survive realistic readout errors, with a detectable minimum in charge fluctuations marking where incomplete postselection attenuates noise-induced mixing.
#QuantumErrorMitigation #MonitoredQuantumDynamics #Research
#QuantumErrorMitigation #MonitoredQuantumDynamics #Research
Demonstrates ZNE error mitigation in indirect-control VQE systems using unitary folding on 1D XY spin chains, achieving 98% relative accuracy while reducing hardware control overhead—enabling scalable NISQ algorithms with limited qubit access.
#QuantumErrorMitigation #VQE #Research
#QuantumErrorMitigation #VQE #Research
Zero-Noise Extrapolation for Indirect-Control Variational Quantum Eigensolvers
iq.fp2.dev
October 30, 2026 at 8:31 PM
Demonstrates ZNE error mitigation in indirect-control VQE systems using unitary folding on 1D XY spin chains, achieving 98% relative accuracy while reducing hardware control overhead—enabling scalable NISQ algorithms with limited qubit access.
#QuantumErrorMitigation #VQE #Research
#QuantumErrorMitigation #VQE #Research
Demonstrates ZNE error mitigation in indirect-control VQE systems using unitary folding on 1D XY spin chains, achieving 98% relative accuracy while reducing hardware control overhead—enabling scalable NISQ algorithms with limited qubit access.
#QuantumErrorMitigation #VQE #Research
#QuantumErrorMitigation #VQE #Research
Zero-Noise Extrapolation for Indirect-Control Variational Quantum Eigensolvers
iq.fp2.dev
October 30, 2026 at 8:31 PM
Demonstrates ZNE error mitigation in indirect-control VQE systems using unitary folding on 1D XY spin chains, achieving 98% relative accuracy while reducing hardware control overhead—enabling scalable NISQ algorithms with limited qubit access.
#QuantumErrorMitigation #VQE #Research
#QuantumErrorMitigation #VQE #Research
New Bayesian framework recovers ideal quantum distributions from lossy photonic data, extending beyond collision-free regimes and providing uncertainty quantification that existing recycling methods cannot achieve.
#PhotonicQuantum #QuantumErrorMitigation #Research
#PhotonicQuantum #QuantumErrorMitigation #Research
Bayesian Mitigation of Photon Loss in Linear Optical Quantum Circuits
arxiv.org
October 21, 2026 at 3:31 AM
New Bayesian framework recovers ideal quantum distributions from lossy photonic data, extending beyond collision-free regimes and providing uncertainty quantification that existing recycling methods cannot achieve.
#PhotonicQuantum #QuantumErrorMitigation #Research
#PhotonicQuantum #QuantumErrorMitigation #Research
Novel noise characterization methods combining regularized cycle benchmarking and 2D tensor-network tomography enable error-mitigated superconducting quantum processors to achieve <13% error on circuits with 400 CZ gates.
#NoiseCharacterization #QuantumErrorMitigation #SuperconductingQubits
#NoiseCharacterization #QuantumErrorMitigation #SuperconductingQubits
Noise Characterization Techniques for Superconducting Quantum Processors: Cycle Benchmarking and Tensor-Network Methods
arxiv.org
October 14, 2026 at 4:16 PM
Novel noise characterization methods combining regularized cycle benchmarking and 2D tensor-network tomography enable error-mitigated superconducting quantum processors to achieve <13% error on circuits with 400 CZ gates.
#NoiseCharacterization #QuantumErrorMitigation #SuperconductingQubits
#NoiseCharacterization #QuantumErrorMitigation #SuperconductingQubits
Study compares third-party quantum error mitigation stacks against IBM's native execution on 156-qubit Heron hardware. Q-CTRL and Qedma QESEM achieved 3.1× and 4.7× error reduction respectively, with distinct accuracy-runtime trade-offs.
#QuantumErrorMitigation #QuantumHardware #QuantumComputing
#QuantumErrorMitigation #QuantumHardware #QuantumComputing
Independent Benchmark Evaluates Quantum Error Management on 156-Qubit IBM Heron Processor
iq.fp2.dev
September 24, 2026 at 9:30 AM
Study compares third-party quantum error mitigation stacks against IBM's native execution on 156-qubit Heron hardware. Q-CTRL and Qedma QESEM achieved 3.1× and 4.7× error reduction respectively, with distinct accuracy-runtime trade-offs.
#QuantumErrorMitigation #QuantumHardware #QuantumComputing
#QuantumErrorMitigation #QuantumHardware #QuantumComputing
Hybrid quantum-classical error mitigation technique combining tensor networks with belief propagation achieves higher accuracy than classical or quantum-only methods on discrete time crystals with 65 qubits, demonstrating 5.6× GPU speedup.
#QuantumErrorMitigation #TensorNetworks #Research
#QuantumErrorMitigation #TensorNetworks #Research
Lindblad Multiproduct Formulas: Quantum Error Mitigation via Tensor Networks
iq.fp2.dev
September 7, 2026 at 2:26 AM
Hybrid quantum-classical error mitigation technique combining tensor networks with belief propagation achieves higher accuracy than classical or quantum-only methods on discrete time crystals with 65 qubits, demonstrating 5.6× GPU speedup.
#QuantumErrorMitigation #TensorNetworks #Research
#QuantumErrorMitigation #TensorNetworks #Research
Dominance-aware clustering method advances quantum error mitigation for optimization algorithms. Uses classical post-processing to reliably recover high-quality bitstrings with logarithmic shot complexity, outperforming existing techniques.
#QuantumErrorMitigation #QuantumOptimization #Research
#QuantumErrorMitigation #QuantumOptimization #Research
Sample-Level Quantum Error Mitigation via Dominance-Aware Clustering
arxiv.org
September 3, 2026 at 9:23 AM
Dominance-aware clustering method advances quantum error mitigation for optimization algorithms. Uses classical post-processing to reliably recover high-quality bitstrings with logarithmic shot complexity, outperforming existing techniques.
#QuantumErrorMitigation #QuantumOptimization #Research
#QuantumErrorMitigation #QuantumOptimization #Research
Novel spatial-temporal analysis of quantum noise via Pauli weight propagation. GPU tensor network simulations demonstrate 55% information recovery on quantum hardware lattices using Lieb-Robinson-constrained optimization.
#QuantumErrorMitigation #QuantumSimulation #Research
#QuantumErrorMitigation #QuantumSimulation #Research
The Pauli Lightcone: Information-Theoretic Error Mitigation in Quantum Simulation
arxiv.org
August 27, 2026 at 3:51 AM
Novel spatial-temporal analysis of quantum noise via Pauli weight propagation. GPU tensor network simulations demonstrate 55% information recovery on quantum hardware lattices using Lieb-Robinson-constrained optimization.
#QuantumErrorMitigation #QuantumSimulation #Research
#QuantumErrorMitigation #QuantumSimulation #Research
PGLM achieves 50% RMSE reduction on multi-qubit circuits using only 50-200 training circuits and sub-millisecond inference, providing data-efficient, interpretable error mitigation for NISQ devices without black-box complexity.
#QuantumErrorMitigation #NISQ #QuantumComputing
#QuantumErrorMitigation #NISQ #QuantumComputing
Physics-Guided Linear Mapper for Quantum Error Mitigation
arxiv.org
August 25, 2026 at 4:06 AM
PGLM achieves 50% RMSE reduction on multi-qubit circuits using only 50-200 training circuits and sub-millisecond inference, providing data-efficient, interpretable error mitigation for NISQ devices without black-box complexity.
#QuantumErrorMitigation #NISQ #QuantumComputing
#QuantumErrorMitigation #NISQ #QuantumComputing
IQM releases open-source error reduction tools achieving up to 5× measurement error reduction and 50% lower expectation-value error on real quantum workloads, deployable in a single line of code.
#QuantumErrorMitigation #QuantumComputing #News
#QuantumErrorMitigation #QuantumComputing #News
Quantum Error Mitigation Without Added Noise
iq.fp2.dev
August 24, 2026 at 11:53 AM
IQM releases open-source error reduction tools achieving up to 5× measurement error reduction and 50% lower expectation-value error on real quantum workloads, deployable in a single line of code.
#QuantumErrorMitigation #QuantumComputing #News
#QuantumErrorMitigation #QuantumComputing #News
Researchers demonstrate S-ZNE, a quantum error mitigation technique using classical learning surrogates that reduces measurement overhead from linear to constant scaling. Validated on up to 100-qubit ground-state energy and quantum metrology tasks.
#QuantumErrorMitigation #QuantumComputing #News
#QuantumErrorMitigation #QuantumComputing #News
Surrogate-Enabled Quantum Error Mitigation Reduces Measurement Overhead
www.nature.com
August 20, 2026 at 8:09 PM
Researchers demonstrate S-ZNE, a quantum error mitigation technique using classical learning surrogates that reduces measurement overhead from linear to constant scaling. Validated on up to 100-qubit ground-state energy and quantum metrology tasks.
#QuantumErrorMitigation #QuantumComputing #News
#QuantumErrorMitigation #QuantumComputing #News
"Coherently mitigating boson samplers with stochastic errors"
scirate.com/arxiv/2505.0...
This is a step towards #quantumerrormitigation for #sampling problems.
scirate.com/arxiv/2505.0...
This is a step towards #quantumerrormitigation for #sampling problems.
May 2, 2025 at 7:36 AM
"Coherently mitigating boson samplers with stochastic errors"
scirate.com/arxiv/2505.0...
This is a step towards #quantumerrormitigation for #sampling problems.
scirate.com/arxiv/2505.0...
This is a step towards #quantumerrormitigation for #sampling problems.
10% percent improvement in quantum error correcrtion with this QEMS system
#QuantumComputing #QuantumErrorMitigation #NISQ #Decoherence #QuantumFidelity #QuantumInformation #Simulation
zenodo.org/records/1713...
#QuantumComputing #QuantumErrorMitigation #NISQ #Decoherence #QuantumFidelity #QuantumInformation #Simulation
zenodo.org/records/1713...
Quantum Error Mitigation Simulator (QEMS)
# Enhanced Quantum Error Mitigation System with Fractal Correction Engine ## Abstract I present a comprehensive quantum error mitigation system that integrates a novel Fractal Correction Engine (FCE) ...
zenodo.org
December 22, 2025 at 8:52 AM
10% percent improvement in quantum error correcrtion with this QEMS system
#QuantumComputing #QuantumErrorMitigation #NISQ #Decoherence #QuantumFidelity #QuantumInformation #Simulation
zenodo.org/records/1713...
#QuantumComputing #QuantumErrorMitigation #NISQ #Decoherence #QuantumFidelity #QuantumInformation #Simulation
zenodo.org/records/1713...
Oh i forgot to mention the QEMS system is for babies, we can reconstruct the data with near full fidelity on every layer and qubit lol
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1715...
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1715...
two police officers in a car with order restored written on the bottom
ALT: two police officers in a car with order restored written on the bottom
media.tenor.com
October 7, 2025 at 3:58 PM
Oh i forgot to mention the QEMS system is for babies, we can reconstruct the data with near full fidelity on every layer and qubit lol
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1715...
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1715...
Hey Gurl i heard your Quantum computer needs functioning error mitigation to be able to do any useful computing. check out this Quantum error mitigation system
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1713...
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1713...
thanos from the movie avengers infinity war says " it needs correction "
ALT: thanos from the movie avengers infinity war says " it needs correction "
media.tenor.com
October 7, 2025 at 3:55 PM
Hey Gurl i heard your Quantum computer needs functioning error mitigation to be able to do any useful computing. check out this Quantum error mitigation system
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1713...
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1713...
Extended spectator qubit-based noise mitigation from two-state to multi-level fluctuator noise, demonstrating comparable decoherence suppression performance despite increased complexity of realistic quantum environments.
#QuantumErrorMitigation #QuantumControl #Research
#QuantumErrorMitigation #QuantumControl #Research
Multi-Level Random-Telegraph Noise Mitigation Using Single Spectator Qubit
arxiv.org
July 21, 2026 at 7:51 AM
Extended spectator qubit-based noise mitigation from two-state to multi-level fluctuator noise, demonstrating comparable decoherence suppression performance despite increased complexity of realistic quantum environments.
#QuantumErrorMitigation #QuantumControl #Research
#QuantumErrorMitigation #QuantumControl #Research
Sample-optimal protocol for quantum measurement tomography combining least-squares estimation with convex projection. Achieves O(d²L/ε²) complexity with rigorous error guarantees and demonstrated performance on superconducting transmon qubits.
#QuantumMeasurement #QuantumErrorMitigation #News
#QuantumMeasurement #QuantumErrorMitigation #News
Fast Quantum Measurement Tomography with Optimal Error Bounds
quantum-journal.org
July 15, 2026 at 2:58 PM
Sample-optimal protocol for quantum measurement tomography combining least-squares estimation with convex projection. Achieves O(d²L/ε²) complexity with rigorous error guarantees and demonstrated performance on superconducting transmon qubits.
#QuantumMeasurement #QuantumErrorMitigation #News
#QuantumMeasurement #QuantumErrorMitigation #News
One-ancilla quantum ODE solver achieves polylogarithmic circuit depth reduction from O(1/ε) to O(polylog(1/ε)) using classical step-size extrapolation, preserving hardware efficiency for near-term quantum devices.
#QuantumAlgorithms #QuantumErrorMitigation #Research
#QuantumAlgorithms #QuantumErrorMitigation #Research
Circuit Depth Reduction for Quantum Differential Equation Solvers via Step-Size Extrapolation
iq.fp2.dev
July 9, 2026 at 4:01 AM
One-ancilla quantum ODE solver achieves polylogarithmic circuit depth reduction from O(1/ε) to O(polylog(1/ε)) using classical step-size extrapolation, preserving hardware efficiency for near-term quantum devices.
#QuantumAlgorithms #QuantumErrorMitigation #Research
#QuantumAlgorithms #QuantumErrorMitigation #Research
QEM accuracy and decision reliability are fundamentally different. Methods improving expectation values may leave downstream choices unchanged or worse—decision quality depends on residual gap geometry in quotient space, not ambient MSE.
#QuantumErrorMitigation #QuantumComputing #Research
#QuantumErrorMitigation #QuantumComputing #Research
Decision Kernels for Quantum Error Mitigation: Accuracy Improvements Need Not Improve Downstream Decisions
arxiv.org
July 7, 2026 at 5:08 AM
QEM accuracy and decision reliability are fundamentally different. Methods improving expectation values may leave downstream choices unchanged or worse—decision quality depends on residual gap geometry in quotient space, not ambient MSE.
#QuantumErrorMitigation #QuantumComputing #Research
#QuantumErrorMitigation #QuantumComputing #Research
NDE-CS protocol transforms quantum noise into a resource for classical simulation by decomposing non-Clifford circuits into Clifford combinations. Experimentally validated on superconducting processors.
#QuantumErrorMitigation #QuantumComputing #News
#QuantumErrorMitigation #QuantumComputing #News
Enhancing Classical Simulation with Noisy Quantum Devices
www.nature.com
July 3, 2026 at 12:45 PM
NDE-CS protocol transforms quantum noise into a resource for classical simulation by decomposing non-Clifford circuits into Clifford combinations. Experimentally validated on superconducting processors.
#QuantumErrorMitigation #QuantumComputing #News
#QuantumErrorMitigation #QuantumComputing #News
Combines quantum error detection with probabilistic error cancellation using optimized symmetry measurements to achieve lower sampling costs and improved accuracy, demonstrated through GHZ state preparation and Fermi-Hubbard model simulations.
#QuantumErrorMitigation #QuantumComputing #Research
#QuantumErrorMitigation #QuantumComputing #Research
Optimizing Symmetry Informed Probabilistic Error Cancellation
arxiv.org
July 2, 2026 at 4:13 AM
Combines quantum error detection with probabilistic error cancellation using optimized symmetry measurements to achieve lower sampling costs and improved accuracy, demonstrated through GHZ state preparation and Fermi-Hubbard model simulations.
#QuantumErrorMitigation #QuantumComputing #Research
#QuantumErrorMitigation #QuantumComputing #Research