Papers
Live trends in quantum computing research, updated daily from arXiv.
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Improving the Reliability of Quantum Circuits by Evolving Heterogeneous Ensembles
Owain Parry, John A. Clark, Phil Mcminn·Sep 13, 2024
Quantum computers can perform certain operations exponentially faster than classical computers, but designing quantum circuits is challenging. To that end, researchers used evolutionary algorithms to produce probabilistic quantum circuits that give t...
Faster Algorithmic Quantum and Classical Simulations by Corrected Product Formulas
Mohsen Bagherimehrab, Luis Mantilla Calderón, Dominic W. Berry +6 more·Sep 12, 2024
Hamiltonian simulation using product formulas is arguably the most straightforward and practical approach for algorithmic simulation of a quantum system's dynamics on a quantum computer. Here we present corrected product formulas (CPFs), a variation ...
Towards Scalable Quantum Networks
Connor Howe, Mohsin Aziz, Ali Anwar·Sep 12, 2024
This paper presents a comprehensive study on the scalability challenges and opportunities in quantum communication networks, with the goal of determining parameters that impact networks most as well as the trends that appear when scaling networks. We...
Non-unital noise in a superconducting quantum computer as a computational resource for reservoir computing
Francesco Monzani, Emanuele Ricci, Luca Nigro +1 more·Sep 12, 2024
We identify a noise model that ensures the functioning of an echo state network employing a gate-based quantum computer for reservoir computing applications. Energy dissipation induced by amplitude damping drastically improves the short-term memory c...
Learning Robust Observable to Address Noise in Quantum Machine Learning
Bikram Khanal, Pablo Rivas·Sep 11, 2024
Quantum Machine Learning (QML) has emerged as a promising field that combines the power of quantum computing with the principles of machine learning. One of the significant challenges in QML is dealing with noise in quantum systems, especially in the...
A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations
Avimita Chatterjee, Sonny Rappaport, Anish Giri +5 more·Sep 11, 2024
Quantum Hamiltonian simulation is one of the most promising applications of quantum computing and forms the basis for many quantum algorithms. Benchmarking them is an important gauge of progress in quantum computing technology. We present a methodolo...
Long distance spin shuttling enabled by few-parameter velocity optimization
Alessandro David, Akshay Menon Pazhedath, L. Schreiber +3 more·Sep 11, 2024
Spin qubit shuttling via moving conveyor-mode quantum dots in Si/SiGe offers a promising route to scalable miniaturized quantum computing. Recent modeling of dephasing via valley degrees of freedom and well disorder dictate a slow shutting speed whic...
GAN Decoder on a Quantum Toric Code for Noise‐Robust Quantum Teleportation
Jiaxin Li, Zhimin Wang, Alberto Ferrara +2 more·Sep 11, 2024
A generative adversarial network (GAN)‐based decoder is proposed for quantum topological codes and applied it to enhance a quantum teleportation protocol under depolarizing noise. By constructing and training the GAN's generator and discriminator net...
Generalization error bound for quantum machine learning in NISQ era—a survey
Bikram Khanal, Pablo Rivas, Arun Sanjel +3 more·Sep 11, 2024
Despite the mounting anticipation for the quantum revolution, the success of quantum machine learning (QML) in the noisy intermediate-scale quantum (NISQ) era hinges on a largely unexplored factor: the generalization error bound, a cornerstone of rob...
Introducing UNIQuE: The Unconventional Noiseless Intermediate Quantum Emulator
Reece Robertson, D. Ventura·Sep 11, 2024
We implement an open-source quantum computing emulator that includes arithmetic operations, the quantum Fourier transform, and quantum phase estimation. The emulator provides significant savings in both temporal and spatial resources compared to simu...
Tailoring the light-matter interaction for high-fidelity holonomic gate operations in multiple systems
Zhihuang Kang, Shutong Wu, Kunji Han +4 more·Sep 10, 2024
Realization of quantum computing requires the development of high-fidelity quantum gates that are resilient to decoherence, control errors, and environmental noise. While non-adiabatic holonomic quantum computation (NHQC) offers a promising approach,...
Simulating continuous-space systems with quantum-classical wave functions
Friederike Metz, Gabriel Pescia, Giuseppe Carleo·Sep 10, 2024
Most non-relativistic interacting quantum many-body systems, such as atomic and molecular ensembles or materials, are naturally described in terms of continuous-space Hamiltonians. The simulation of their ground-state properties on digital quantum co...
Effect of noise on quantum circuit realization of non-Hermitian time crystals
Weihua Xie, Michael H. Kolodrubetz, Vadim Oganesyan·Sep 9, 2024
Non-Hermitian quantum dynamics lie in an intermediate regime between unitary Hamiltonian dynamics and trace-preserving non-unitary open quantum system dynamics. Given differences in the noise tolerance of unitary and non-unitary dynamics, it is inter...
Circuit optimization of qubit IC-POVMs for shadow estimation
Zhou You, Qing Liu, You Zhou·Sep 9, 2024
Extracting information from quantum systems is crucial in quantum physics and information processing. Methods based on randomized measurements, like shadow estimation, show advantages in effectively achieving such tasks. However, randomized measureme...
Non-local resources for error correction in quantum LDPC codes
Omprakash Chandra, Gopikrishnan Muraleedharan, G. Brennen·Sep 9, 2024
Quantum low density parity check (qLDPC) codes are an attractive alternative to the surface code due to their relatively high code rate and distance. However, unlike the surface code which has simple, geometrically local, stabilizer checks, high perf...
Quantum Wasserstein Compilation: Unitary Compilation using the Quantum Earth Mover's Distance
M. Richter, Abhishek Y. Dubey, A. Plinge +3 more·Sep 9, 2024
Despite advances in the development of quantum computers, the practical application of quantum algorithms requiring deep circuit depths or high-fidelity transformations remains outside the current range of the so-called noisy intermediate-scale quant...
An Equivariant Machine Learning Decoder for 3D Toric Codes
Oliver Weissl, E. Egorov·Sep 6, 2024
Research on mitigating errors in computing and communication systems has grown with their widespread use. In quantum computing, error correction is crucial as errors can quickly propagate, undermining results and the theoretical speedup over classica...
Tomography-assisted noisy quantum circuit simulator using matrix product density operators
Wei Ma, Yun-hao Shi, Kai Xu +1 more·Sep 4, 2024
In recent years, efficient quantum circuit simulations incorporating ideal noise assumptions have relied on tensor network simulators, particularly leveraging the matrix product density operator (MPDO) framework. However, experiments on real noisy in...
Classically estimating observables of noiseless quantum circuits
Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph +3 more·Sep 3, 2024
We present a classical algorithm based on Pauli propagation for estimating expectation values of arbitrary observables on random unstructured quantum circuits across all circuit architectures and depths, including those with all-to-all connectivity. ...
Estimating the coherence of noise in mid-scale quantum systems
Pedro Figueroa–Romero, M. Papivc, Adrian Auer +1 more·Sep 3, 2024
While the power of quantum computers is commonly acknowledged to rise exponentially, it is often overlooked that the complexity of quantum noise mechanisms generally grows much faster. In particular, quantifying whether the instructions on a quantum ...