Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Verifiable measurement-based quantum random sampling with trapped ions
M. Ringbauer, M. Hinsche, T. Feldker +13 more·Jul 26, 2023
Quantum computers are now on the brink of outperforming their classical counterparts. One way to demonstrate the advantage of quantum computation is through quantum random sampling performed on quantum computing devices. However, existing tools for v...
Compressed Gate Characterization for Quantum Devices with Time-Correlated Noise
M. Gullans, M. Caranti, A. Mills +1 more·Jul 26, 2023
As quantum devices make steady progress towards intermediate scale and fault-tolerant quantum computing, it is essential to develop rigorous and efficient measurement protocols that account for known sources of noise. Most existing quantum characteri...
Multiparameter Estimation with Two-Qubit Probes in Noisy Channels
Lorcán O. Conlon, P. Lam, S. Assad·Jul 26, 2023
This work compares the performance of single- and two-qubit probes for estimating several phase rotations simultaneously under the action of different noisy channels. We compute the quantum limits for this simultaneous estimation using collective and...
Calculating the Single-Particle Many-body Green's Functions via the Quantum Singular Value Transform Algorithm
Alexis Ralli, G. Greene‐Diniz, D. M. Ramo +1 more·Jul 25, 2023
The Quantum Singular Value Transformation (QSVT) is a technique that provides a unified framework for describing many of the quantum algorithms discovered to date. We implement a noise-free simulation of the technique to investigate how it can be use...
Measurement-Free Fault-Tolerant Quantum Error Correction in Near-Term Devices
Sascha Heußen, David F. Locher, M. Muller·Jul 25, 2023
Logical qubits can be protected from decoherence by performing QEC cycles repeatedly. Algorithms for fault-tolerant QEC must be compiled to the specific hardware platform under consideration in order to practically realize a quantum memory that opera...
MORE: Measurement and Correlation Based Variational Quantum Circuit for Multi-Classification
Jindi Wu, Tianjie Hu, Qun Li·Jul 21, 2023
Quantum computing has shown considerable promise for compute-intensive tasks in recent years. For instance, classification tasks based on quantum neural networks (QNN) have garnered significant interest from researchers and have been evaluated in var...
Scalable tensor-network error mitigation for near-term quantum computing
Sergei E. Filippov, Matea Leahy, M. Rossi +1 more·Jul 21, 2023
Until fault-tolerance becomes implementable at scale, quantum computing will heavily rely on noise mitigation techniques. While methods such as zero noise extrapolation with probabilistic error amplification (ZNE-PEA) and probabilistic error cancella...
Randomized semi-quantum matrix processing
Allan D. C. Tosta, Thais de Lima Silva, G. Camilo +1 more·Jul 21, 2023
We present a hybrid quantum-classical framework for simulating generic matrix functions more amenable to early fault-tolerant quantum hardware than standard quantum singular-value transformations. The method is based on randomization over the Chebysh...
Robust sparse IQP sampling in constant depth
Louis Paletta, Anthony Leverrier, A. Sarlette +2 more·Jul 20, 2023
Between NISQ (noisy intermediate scale quantum) approaches without any proof of robust quantum advantage and fully fault-tolerant quantum computation, we propose a scheme to achieve a provable superpolynomial quantum advantage (under some widely acce...
Robust ground-state energy estimation under depolarizing noise
Zhiyan Ding, Yulong Dong, Yu Tong +1 more·Jul 20, 2023
We present a novel ground-state energy estimation algorithm that is robust under global depolarizing error channels. Building upon the recently developed Quantum Exponential Least Squares (QCELS) algorithm, our new approach incorporates significant a...
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices
Jinyang Li, Zhepeng Wang, Zhirui Hu +3 more·Jul 19, 2023
Quantum computing presents a promising approach for machine learning with its capability for extremely parallel computation in high-dimension through superposition and entanglement. Despite its potential, existing quantum learning algorithms, such as...
The effect of classical optimizers and Ansatz depth on QAOA performance in noisy devices
Aidan Pellow-Jarman, Shane McFarthing, I. Sinayskiy +3 more·Jul 19, 2023
The Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum algorithm for Near-term Intermediate-Scale Quantum computers (NISQ) providing approximate solutions for combinatorial optimization problems. The QAOA utilizes a quantum-cl...
Generating probability distributions using variational quantum circuits
Ronit Raj, Kshitij Durge, Manish Mallapur +2 more·Jul 18, 2023
Sampling from a probability distribution is a core task in many quantum and classical algorithms. Variational quantum circuits provide a natural approach to generating such distributions, as measurement outcomes directly define the probability values...
A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
Fr'ed'eric Marcotte, Pierre-Antoine Mouny, Victor Yon +6 more·Jul 18, 2023
Neural decoders for quantum error correction (QEC) rely on neural networks to classify syndromes extracted from error correction codes and find appropriate recovery operators to protect logical information against errors. Its ability to adapt to hard...
qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers
Han-Yu Cao, Feng Pan, Yijia Wang +1 more·Jul 18, 2023
We propose a general framework for decoding quantum error-correcting codes with generative modeling. The model utilizes autoregressive neural networks, specifically Transformers, to learn the joint probability of logical operators and syndromes. This...
Quantum circuit autoencoder
Jun-Yi Wu, Hao Fu, Mingzheng Zhu +3 more·Jul 17, 2023
Quantum autoencoder is a quantum neural network model for compressing information stored in quantum states. However, one needs to process information stored in quantum circuits for many tasks in the emerging quantum information technology. In this wo...
Demonstrating a Long-Coherence Dual-Rail Erasure Qubit Using Tunable Transmons
H. Levine, A. Haim, Jimmy S. C. Hung +13 more·Jul 17, 2023
Quantum error correction with erasure qubits promises significant advantages over standard error correction due to favorable thresholds for erasure errors. To realize this advantage in practice requires a qubit for which nearly all errors are such er...
Enhancing Dispersive Readout of Superconducting Qubits through Dynamic Control of the Dispersive Shift: Experiment and Theory
François Swiadek, R. Shillito, P. Magnard +9 more·Jul 15, 2023
The performance of a wide range of quantum computing algorithms and protocols depends critically on the fidelity and speed of the employed qubit readout. Examples include gate sequences benefiting from midcircuit real-time measurement-based feedback,...
Fast design and scaling of multi-qubit gates in large-scale trapped-ion quantum computers
Lee Peleg, David Schwerdt, Jonathan Nemirovsky +5 more·Jul 14, 2023
Quantum computers based on crystals of trapped ions are a prominent technology for quantum computation. A unique feature of trapped ions is their long-range Coulomb interactions, which can be exploited to realize large-scale multiqubit entanglement g...
Comparative Study of Variations in Quantum Approximate Optimization Algorithms for the Traveling Salesman Problem
W. Qian, R. Basili, M. Eshaghian-Wilner +3 more·Jul 14, 2023
The traveling salesman problem (TSP) is one of the most often-used NP-hard problems in computer science to study the effectiveness of computing models and hardware platforms. In this regard, it is also heavily used as a vehicle to study the feasibili...