63 citations · 197 across the 17 of their papers we have counts for
18 papers
Spacetime mitigation of logical errors
Laurin E. Fischer, Ali Javadi-Abhari, Simon Martiel +1
Error detection can suppress noise at a lower sampling cost than probabilistic error cancellation (PEC), but leaves residual logical errors. We combine the two approaches to mitiga…
Symmetries of Pauli Noise from Lindbladian Dynamics
Moein Malekakhlagh, Edward H. Chen, Luke C. G. Govia +1
Characterizing noise in quantum circuits is fundamentally limited by gauge degrees of freedom; certain parameters, such as the individual contributions of state preparation and mea…
Sampling hard circuits with verifiably high fidelity
Simon Martiel, Jay-U Chung, Alireza Seif +9
Sampling-based proposals are prominent candidates for demonstrating quantum computations beyond the reach of classical supercomputers. However, it has been difficult to combine the…
Better Pauli Channel Learning with Maximum Likelihood Estimation
Daniel Belkin, Faisal Alam, Matthew Thibodeau +3
Error mitigation in a noisy quantum device requires a very good estimate of the noise channel. The accuracy of probabilistic error cancellation is often limited by the high sample…
Learning Midcircuit Measurement Backaction from Three Repeated Measurements
Chia-Tung Chu, Su-un Lee, Han Zheng +4
Accurate modeling of midcircuit measurements (MCMs) is essential for dynamic-circuit operations such as syndrome extraction, measurement-based reset, and the separation of state-pr…
Big cats: entanglement in 120 qubits and beyond
Ali Javadi-Abhari, Simon Martiel, Alireza Seif +2
Entanglement is the quintessential quantum phenomenon and a key enabler of quantum algorithms. The ability to faithfully entangle many distinct particles is often used as a benchma…
Theory and Architecture of Syndrome-Resolved Logical Gates
Nobuyuki Yoshioka, Alireza Seif, Peter Groszkowski +2
We introduce a general framework for weak transversal gates, namely syndrome-resolved implementation of logical unitaries realized by local physical unitaries, and demonstrate its…
Enhancing quantum noise characterization via extra energy levels
Senrui Chen, Akel Hashim, Noah Goss +3
Noise is a major challenge for building practical quantum computing systems. Precise characterization of quantum noise is crucial for developing effective error mitigation and corr…
Disambiguating Pauli noise in quantum computers
Edward H. Chen, Senrui Chen, Laurin E. Fischer +7
To successfully perform quantum computations, it is often necessary to first accurately characterize the noise in the underlying hardware. However, it is well known that fundamenta…
Efficient Lindblad synthesis for noise model construction
Moein Malekakhlagh, Alireza Seif, Daniel Puzzuoli +2
Effective noise models are essential for analyzing and understanding the dynamics of quantum systems, particularly in applications like quantum error mitigation and correction. How…
Bounding the systematic error in quantum error mitigation due to model violation
L. C. G. Govia, S. Majumder, S. V. Barron +7
Quantum error mitigation is a promising route to achieving quantum utility, and potentially quantum advantage in the near-term. Many state-of-the-art error mitigation schemes use k…
Entanglement-enhanced learning of quantum processes at scale
Alireza Seif, Senrui Chen, Swarnadeep Majumder +6
Learning unknown processes affecting a quantum system reveals underlying physical mechanisms and enables suppression, mitigation, and correction of unwanted effects. Describing a g…
Quantum Fourier Transform using Dynamic Circuits
Elisa Bäumer, Vinay Tripathi, Alireza Seif +2
In dynamic quantum circuits, classical information from mid-circuit measurements is fed forward during circuit execution. This emerging capability of quantum computers confers nume…
Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling
Alireza Seif, Haoran Liao, Vinay Tripathi +5
Coherent errors, and especially those that occur in correlation among a set of qubits, are detrimental for large-scale quantum computing. Correlations in noise can occur as a resul…
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
Hong-Ye Hu, Andi Gu, Swarnadeep Majumder +7
Extracting information efficiently from quantum systems is a major component of quantum information processing tasks. Randomized measurements, or classical shadows, enable predicti…
High-fidelity, multi-qubit generalized measurements with dynamic circuits
Petr Ivashkov, Gideon Uchehara, Liang Jiang +2
Generalized measurements, also called positive operator-valued measures (POVMs), can offer advantages over projective measurements in various quantum information tasks. Here, we re…
Machine Learning for Practical Quantum Error Mitigation
Haoran Liao, Derek S. Wang, Iskandar Sitdikov +3
Quantum computers progress toward outperforming classical supercomputers, but quantum errors remain their primary obstacle. The key to overcoming errors on near-term devices has em…
Realizing the Nishimori transition across the error threshold for constant-depth quantum circuits
Edward H. Chen, Guo-Yi Zhu, Ruben Verresen +9
Preparing quantum states across many qubits is necessary to unlock the full potential of quantum computers. However, a key challenge is to realize efficient preparation protocols w…