Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Full classification of Pauli Lie algebras
G. Aguilar, Simon Cichy, J. Eisert +1 more·Jul 31, 2024
Lie groups, and therefore Lie algebras, are fundamental structures in quantum physics that determine the space of possible trajectories of evolving systems. However, classification and characterization methods for these structures are often impractic...
Quantum simulation via stochastic combination of unitaries
Joseph Peetz, Scott E. Smart, P. Narang·Jul 30, 2024
Quantum simulation algorithms often require numerous ancilla qubits and deep circuits, prohibitive for near-term hardware. We introduce a framework for simulating quantum channels using ensembles of low-depth circuits in place of many-qubit dilatio...
Projected entangled pair states with flexible geometry
Siddhartha Patra, Sukhbinder Singh, Rom'an Or'us·Jul 30, 2024
Projected entangled pair states (PEPS) are a class of quantum many-body states that generalize matrix product states for one-dimensional systems to higher dimensions. In recent years, PEPS have advanced understanding of strongly correlated systems, e...
Efficient Circuit-Based Quantum State Tomography via Sparse Entry Optimization
Chi-Kwong Li, Kevin Yipu Wu, Zherui Zhang·Jul 29, 2024
Many quantum states arising in algorithms and physical systems occupy only a small, structured subset of the exponentially large Hilbert space, yet standard quantum state tomography fails to exploit this structure. We present an efficient circuit-bas...
Impact of Parallel Gating on Gate Fidelities in Linear, Square, and Star Arrays of Noisy Flip‐Flop Qubits
M. De Michielis, E. Ferraro·Jul 29, 2024
Successfully implementing a quantum algorithm involves maintaining a low logical error rate by ensuring the validity of the quantum fault‐tolerance theorem. The required number of physical qubits arranged in an array depends on the chosen Quantum Err...
Benchmarking and Fidelity Response Theory of High-Fidelity Rydberg Entangling Gates
R. Tsai, Xiangkai Sun, Adam L. Shaw +2 more·Jul 29, 2024
The fidelity of entangling operations is a key figure of merit in quantum information processing, especially in the context of quantum error correction. High-fidelity entangling gates in neutral atoms have seen remarkable advancement recently. A full...
Purification and correction of quantum channels by commutation-derived quantum filters
Sowmitra Das, Jinzhao Sun, Michael Hanks +2 more·Jul 29, 2024
Reducing errors is essential for reliable quantum computation. Quantum error mitigation (QEM) and quantum error correction (QEC) are two leading approaches for this task, each with challenges: QEM suffers from high sampling costs and cannot recover s...
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning
Xin Dai, Tzu-Chieh Wei, Shinjae Yoo +1 more·Jul 29, 2024
The rapid advancement of quantum computing (QC) and machine learning (ML) has given rise to the burgeoning field of quantum machine learning (QML), aiming to capitalize on the strengths of quantum computing to propel ML forward. Despite its promise, ...
Bridging Classical and Quantum: Group-Theoretic Approach to Quantum Circuit Simulation
Daksh Shami·Jul 28, 2024
Efficiently simulating quantum circuits on classical computers is a fundamental challenge in quantum computing. This paper presents a novel theoretical approach that achieves substantial speedups over existing simulators for a wide class of quantum c...
Quantum search by measurements assisted by pre-trained tensor network states for Hamiltonian simulations
Younes Javanmard·Jul 27, 2024
We present a quantum algorithm for simulating complex many-body systems and finding their ground states, combining the use of tensor networks and density matrix renormalization group (DMRG) techniques. The algorithm is based on von Neumann's measurem...
A Scalable Quantum Non-local Neural Network for Image Classification
Sparsh Gupta, Debanjan Konar, Vaneet Aggarwal·Jul 26, 2024
Non-local operations play a crucial role in computer vision enabling the capture of long-range dependencies through weighted sums of features across the input, surpassing the constraints of traditional convolution operations that focus solely on loca...
Q-Gen: A Parameterized Quantum Circuit Generator
Yikai Mao, Shaswot Shresthamali, Masaaki Kondo·Jul 26, 2024
Unlike most classical algorithms that take an input and give the solution directly as an output, quantum algorithms produce a quantum circuit that works as an indirect solution to computationally hard problems. In the full quantum computing workflow,...
Enhancing quantum field theory simulations on NISQ devices with Hamiltonian truncation
J. Ingoldby, M. Spannowsky, Timur Sypchenko +1 more·Jul 26, 2024
Quantum computers can efficiently simulate highly entangled quantum systems, offering a solution to challenges facing classical simulation of quantum field theories (QFTs). This paper presents an alternative to traditional methods for simulating the ...
Quantum landscape tomography for efficient single-gate optimization on quantum computers
Matan Ben-Dov, I. Arad, Emanuele G. Dalla Torre·Jul 25, 2024
Circuit optimization is a fundamental task for practical applications of near-term quantum computers. In this work we address this challenge through the powerful lenses of tensor network theory. Our approach involves the full characterization of the ...
The signaling dimension of two-dimensional and polytopic systems
Shuriku Kai, Michele Dall'Arno·Jul 25, 2024
The signaling dimension of any given physical system represents its classical simulation cost, that is, the minimum dimension of a classical system capable of reproducing all the input/output correlations of the given system. The signaling dimension ...
Solving the travelling salesman problem using Bloch sphere encoding
Kapil Goswami, Gagan Anekonda Veereshi, P. Schmelcher +1 more·Jul 24, 2024
The travelling salesman problem (TSP) is a popular NP-hard combinatorial optimization problem that requires finding the optimal way for a salesman to travel through different cities once and return to the initial city. The existing methods of solving...
Feedback Intensity Equalization Algorithm for Multi-Spots Holographic Tweezer
Shaoxiong Wang, Yifei Hu, Yaoting Zhou +2 more·Jul 24, 2024
High degree of adjustability enables the holographic tweezer array a versatile platform for creating an arbitrary geometrical atomic array. In holographic tweezer array experiments, an optical tweezer generated by a spatial light modulator (SLM) usua...
Surrogate-guided optimization in quantum networks
Luise Prielinger, Á. G. Iñesta, Gayane Vardoyan·Jul 24, 2024
When physical architectures become too complex for analytical study, numerical simulation proves essential to investigate quantum network behavior. Although highly informative, these simulations involve intricate numerical functions without known ana...
Tensor network enhanced dynamic multiproduct formulas
Niall F. Robertson, Bibek Pokharel, Bryce Fuller +10 more·Jul 24, 2024
Tensor networks and quantum computation are two of the most powerful tools for the simulation of quantum many-body systems. Rather than viewing them as competing approaches, here we consider how these two methods can work in tandem. We introduce a no...
Approximate real-time evolution operator for potential with one ancillary qubit and application to first-quantized Hamiltonian simulation
Xinchi Huang, Taichi Kosugi, Hirofumi Nishi +1 more·Jul 23, 2024
In many quantum algorithms, including Hamiltonian simulation, efficient quantum circuit implementation of diagonal unitary matrices is an important issue. For small unitary diagonal matrices, a method based on Walsh operators is known and allows an e...