Papers
Live trends in quantum computing research, updated daily from arXiv.
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A SAT Scalpel for Lattice Surgery: Representation and Synthesis of Subroutines for Surface-Code Fault-Tolerant Quantum Computing
D. Tan, M. Niu, C. Gidney·Apr 29, 2024
Quantum error correction is necessary for largescale quantum computing. A promising quantum error correcting code is the surface code. For this code, fault-tolerant quantum computing (FTQC) can be performed via lattice surgery, i.e., splitting and me...
How to surpass no-go limits in Gaussian quantum error correction and entangled Gaussian state distillation?
En-Jui Chang, Ching-Yi Lai·Apr 29, 2024
Gaussian quantum information processing with continuous-variable (CV) quantum information carriers holds significant promise for applications in quantum communication and quantum internet. However, applying Gaussian state distillation and quantum err...
Fault-tolerant compiling of classically hard IQP circuits on hypercubes
Dominik Hangleiter, Marcin Kalinowski, D. Bluvstein +6 more·Apr 29, 2024
Realizing computationally complex quantum circuits in the presence of noise and imperfections is a challenging task. While fault-tolerant quantum computing provides a route to reducing noise, it requires a large overhead for generic algorithms. Here,...
Demonstration of system-bath physics on a gate-based quantum computer
Pascal Stadler, Matteo Lodi, A. Khedri +5 more·Apr 29, 2024
Algorithmic cooling can be used to find correlated states of many-body quantum systems. It is based on quantum circuits that perform nonunitary operations, whose implementation can be challenging on near-term quantum computers. In this work we develo...
Classical Post-processing for Unitary Block Optimization Scheme to Reduce the Effect of Noise on Optimization of Variational Quantum Eigensolvers
Xiaochuan Ding, Bryan K. Clark·Apr 29, 2024
Variational Quantum Eigensolvers (VQE) are a promising approach for finding the classically intractable ground state of a Hamiltonian. The Unitary Block Optimization Scheme (UBOS) is a state-of-the-art VQE method which works by sweeping over gates an...
A general framework for active space embedding methods with applications in quantum computing
Stefano Battaglia, Max Rossmannek, V. Rybkin +2 more·Apr 29, 2024
We developed a general framework for hybrid quantum-classical computing of molecular and periodic embedding approaches based on an orbital space separation of the fragment and environment degrees of freedom. We demonstrate its potential by presenting...
Spin coupling is all you need: Encoding strong electron correlation in molecules on quantum computers
Daniel Marti-Dafcik, Hugh G. A. Burton, David P. Tew·Apr 29, 2024
The performance of quantum algorithms for eigenvalue problems, such as computing Hamiltonian spectra, depends strongly on the overlap of the initial wave function and the target eigenvector. In a basis of Slater determinants, the representation of en...
Fast Quantum Process Tomography via Riemannian Gradient Descent
Daniel Volya, Andrey Nikitin, Prabhat Mishra·Apr 29, 2024
Constrained optimization plays a crucial role in the fields of quantum physics and quantum information science and becomes especially challenging for high-dimensional complex structure problems. One specific issue is that of quantum process tomograph...
Equivalence Checking of Parameterised Quantum Circuits
Xin Hong, Wei-Jia Huang, W. Chien +4 more·Apr 29, 2024
Parameterised quantum circuits (PQCs) hold great promise for demonstrating quantum advantages in practical applications of quantum computation. Examples of successful applications include the variational quantum eigensolver, the quantum approximate o...
The Power of Shallow-depth Toffoli and Qudit Quantum Circuits
Alex Bredariol Grilo, Elham Kashefi, Damian Markham +1 more·Apr 28, 2024
The relevance of shallow-depth quantum circuits has recently increased, mainly due to their applicability to near-term devices. In this context, one of the main goals of quantum circuit complexity is to find problems that can be solved by shallow qua...
Variational optimization for quantum problems using deep generative networks
Lingxia Zhang, Xiaodie Lin, Peidong Wang +4 more·Apr 28, 2024
Optimization drives advances in quantum science and machine learning, yet most generative models aim to mimic data rather than to discover optimal answers to challenging problems. Here we present a variational generative optimization network that lea...
Evaluating a quantum-classical quantum Monte Carlo algorithm with Matchgate shadows
Benchen Huang, Yi-Ting Chen, Brajesh Gupt +4 more·Apr 28, 2024
Solving the electronic structure problem of molecules and solids to high accuracy is a major challenge in quantum chemistry and condensed matter physics. The rapid emergence and development of quantum computers offer a promising route to systematical...
Revisiting Majumdar-Ghosh spin chain model and Max-cut problem using variational quantum algorithms
Britant, Anirban Pathak·Apr 28, 2024
In this work, energy levels of the Majumdar-Ghosh model (MGM) are analyzed up to 15 spins chain in the noisy intermediate-scale quantum framework using noisy simulations. This is a useful model whose exact solution is known for a particular choice of...
Quantum-enhanced learning with a controllable bosonic variational sensor network
Pengcheng Liao, Bingzhi Zhang, Quntao Zhuang·Apr 28, 2024
The emergence of quantum sensor networks has presented opportunities for enhancing complex sensing tasks, while simultaneously introducing significant challenges in designing and analyzing quantum sensing protocols due to the intricate nature of enta...
Multi-Stage Watermarking for Quantum Circuits
Min Yang, Xiaolong Guo, Lei Jiang·Apr 28, 2024
Quantum computing represents a burgeoning computational paradigm that significantly advances the resolution of contemporary intricate problems across various domains, including cryptography, chemistry, and machine learning. Quantum circuits tailored ...
XGSwap: eXtreme Gradient boosting Swap for Routing in NISQ Devices
Jean-Baptiste Waring, Christophe Pere, S. L. Beux·Apr 27, 2024
In the current landscape of noisy intermediate-scale quantum (NISQ) computing, the inherent noise presents significant challenges to achieving high-fidelity long-range entanglement. Furthermore, this challenge is amplified by the limited connectivity...
On Efficient Solutions of General Structured Markov Processes in Quantum Computational Environments
Vasileios Kalantzis, M. Squillante, Shashanka Ubaru·Apr 27, 2024
The most-efficient algorithms for computing the stationary distribution π of such M/G/1-type processes on digital computers consist of cyclic reduction (CR) methods. Despite the computational benefits of CR, the time to compute π can still be prohibi...
Red-QAOA: Efficient Variational Optimization through Circuit Reduction
Meng Wang, B. Fang, Ang Li +1 more·Apr 27, 2024
The Quantum Approximate Optimization Algorithm (QAOA) addresses combinatorial optimization challenges by converting inputs to graphs. However, the optimal parameter searching process of QAOA is greatly affected by noise. Larger problems yield bigger ...
Optimal quantum sensing of the nonlinear bosonic interactions using Fock states
Payman Mahmoudi, Atirach Ritboon, Radim Filip·Apr 27, 2024
Nonlinear processes with individual quanta beyond bilinear interactions are essential for quantum technology with bosonic systems. Diverse coherent splitting and merging of quanta in them already manifest in the estimation of their nonlinear coupling...
Clapton: Clifford Assisted Problem Transformation for Error Mitigation in Variational Quantum Algorithms
L. M. Seifert, Siddharth Dangwal, F. Chong +1 more·Apr 27, 2024
Variational quantum algorithms (VQAs) show potential for quantum advantage in the near term of quantum computing, but demand a level of accuracy that surpasses the current capabilities of NISQ devices. To systematically mitigate the impact of quantum...