Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Fault-Tolerant Coding for Entanglement-Assisted Communication
Paula Belzig, M. Christandl, Alexander Müller-Hermes·Oct 6, 2022
Channel capacities quantify the optimal rates of sending information reliably over noisy channels. Usually, the study of capacities assumes that the circuits which the sender and receiver use for encoding and decoding consist of perfectly noiseless g...
Automated Synthesis of Quantum Circuits using Neural Network
Kentaro Murakami, Jianjun Zhao·Oct 6, 2022
While the ability to build quantum computers is improving dramatically, developing quantum algorithms is very limited and relies on human insight and ingenuity. Although several quantum programming languages have been developed, it is challenging for...
Quantum computation for periodic solids in second quantization
A. V. Ivanov, Christoph Sünderhauf, Nicole Holzmann +4 more·Oct 5, 2022
In this work, we present a quantum algorithm for ground-state energy calculations of periodic solids on error-corrected quantum computers. The algorithm is based on the sparse qubitization approach in second quantization and developed for Bloch and W...
Robust Qubit Mapping Algorithm via Double-Source Optimal Routing on Large Quantum Circuits
Chin-Yi Cheng, Chien-Yi Yang, Yi-Hsiang Kuo +3 more·Oct 4, 2022
Qubit mapping is a critical aspect of implementing quantum circuits on real hardware devices. Currently, the existing algorithms for qubit mapping encounter difficulties when dealing with larger circuit sizes involving hundreds of qubits. In this art...
Quantum circuits for toric code and X-cube fracton model
Penghua Chen, B. Yan, Shawn X. Cui·Oct 4, 2022
We propose a systematic and efficient quantum circuit composed solely of Clifford gates for simulating the ground state of the surface code model. This approach yields the ground state of the toric code in ⌈2L+2+log2(d)+L2d⌉ time steps, where L refer...
Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning
Ruiyang Qin, Zhiding Liang, Jinglei Cheng +2 more·Oct 4, 2022
Due to the immense potential of quantum computers and the significant computing overhead required in machine learning applications, the variational quantum classifier (VQC) has received a lot of interest recently for image classification. The perform...
RF simulation platform of qubit control using FDSOI technology for quantum computing
H. Jacquinot, R. Maurand, G. T. F. Bada +10 more·Oct 1, 2022
In this paper, we report on simulations of an Electron Spin Resonance (ESR) RF control line for semiconductor electron spin qubits. The simulation includes both the ESR line characteristics (geometry and configuration, stack and material properties) ...
Design and Analysis of Digital Communication Within an SoC-Based Control System for Trapped-Ion Quantum Computing
Nafis Irtija, J. Plusquellic, E. Tsiropoulou +3 more·Sep 30, 2022
Electronic control systems used for quantum computing have become increasingly complex as multiple qubit technologies employ larger numbers of qubits with higher fidelity target. Whereas the control systems for different technologies share some simil...
Quantum Fourier Addition, Simplified to Toffoli Addition
A. Paler·Sep 30, 2022
Quantum addition circuits are considered being of two types: 1) Toffolli-adder circuits which use only classical reversible gates (CNOT and Toffoli), and 2) QFT-adder circuits based on the quantum Fourier transformation. We present the first systemat...
Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom
Sabee Grewal, Vishnu Iyer, William Kretschmer +1 more·Sep 29, 2022
We show that quantum states with"low stabilizer complexity"can be efficiently distinguished from Haar-random. Specifically, given an $n$-qubit pure state $|\psi\rangle$, we give an efficient algorithm that distinguishes whether $|\psi\rangle$ is (i) ...
Quantum representation of finite groups
Ruge Lin·Sep 29, 2022
The concept of quantum representation of finite groups (QRFG) has been a fundamental aspect of quantum computing for quite some time, playing a role in every corner, from elementary quantum logic gates to the famous Shor's and Grover's algorithms. In...
On the role of entanglement in qudit-based circuit compression
Xiaoqin Gao, Paul Appel, N. Friis +2 more·Sep 29, 2022
Gate-based universal quantum computation is formulated in terms of two types of operations: local single-qubit gates, which are typically easily implementable, and two-qubit entangling gates, whose faithful implementation remains one of the major exp...
On physics-informed neural networks for quantum computers
S. Markidis·Sep 28, 2022
Physics-Informed Neural Networks (PINN) emerged as a powerful tool for solving scientific computing problems, ranging from the solution of Partial Differential Equations to data assimilation tasks. One of the advantages of using PINN is to leverage t...
Single-qubit gate teleportation provides a quantum advantage
Libor Caha, Xavier Coiteux-Roy, R. Koenig·Sep 28, 2022
Gate-teleportation circuits are arguably among the most basic examples of computations believed to provide a quantum computational advantage: In seminal work [Quantum Inf. Comput., 4(2):134--145], Terhal and DiVincenzo have shown that these circuits ...
Analyzing Prospects for Quantum Advantage in Topological Data Analysis
D. Berry, Yuan Su, Casper Gyurik +7 more·Sep 27, 2022
Lloyd et al. were first to demonstrate the promise of quantum algorithms for computing Betti numbers, a way to characterize topological features of data sets. Here, we propose, analyze, and optimize an improved quantum algorithm for topological data ...
Hello Quantum World! A rigorous but accessible first-year university course in quantum information science
S. Economou, Edwin Barnes·Sep 25, 2022
Addressing workforce shortages within the Quantum Information Science and Engineering (QISE) community requires attracting and retaining students from diverse backgrounds early on in their undergraduate education. Here, we describe a course we develo...
Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker +5 more·Sep 25, 2022
In the Noisy Intermediate Scale Quantum (NISQ) era, the dynamic nature of quantum systems causes noise sources to constantly vary over time. Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detri...
Error-Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis
Sharu Theresa Jose, O. Simeone·Sep 23, 2022
Variational quantum algorithms (VQAs) offer the most promising path to obtaining quantum advantages via noisy intermediate-scale quantum (NISQ) processors. Such systems leverage classical optimization to tune the parameters of a parameterized quantum...
TETRIS-ADAPT-VQE: An adaptive algorithm that yields shallower, denser circuit Ansätze
P. Anastasiou, Yanzhu Chen, N. Mayhall +2 more·Sep 21, 2022
Adaptive quantum variational algorithms are particularly promising for simulating strongly correlated systems on near-term quantum hardware, but they are not yet viable due, in large part, to the severe coherence time limitations on current devices. ...
Fast Ion Gates Outside the Lamb-Dicke Regime by Robust Quantum Optimal Control
Xiaodong Yang, Y. Lin, Yao Lu +1 more·Sep 20, 2022
We present a robust quantum optimal control framework for implementing fast entangling gates on ion-trap quantum processors. The framework leverages tailored laser pulses to drive the multiple vibrational sidebands of the ions to create phonon-mediat...