Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Crosstalk Analysis for Simultaneous Gate Operations on Superconducting Qubits
Peng Zhao, Kehuan Linghu, Zhiyuan Li +5 more·Oct 25, 2021
Maintaining or even improving gate performance with growing numbers of parallel controlled qubits is a vital requirement for fault-tolerant quantum computing. For superconducting quantum processors, though isolated one- or two-qubit gates have been d...
SWAP test for an arbitrary number of quantum states
Xavier Gitiaux, Ian Morris, M. Emelianenko +1 more·Oct 25, 2021
We develop a recursive algorithm to generalize the quantum SWAP test for an arbitrary number m of quantum states requiring O(m) controlled-swap (CSWAP) gates and O(logm)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepacka...
Error-Divisible Two-Qubit Gates
David Rodríguez Pérez, P. Varosy, Ziqian Li +3 more·Oct 22, 2021
We introduce a simple, widely applicable formalism for designing"error-divisible"two qubit gates: a quantum gate set where fractional rotations have proportionally reduced error compared to the full entangling gate. In current noisy intermediate-scal...
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
Hanrui Wang, Jiaqi Gu, Yongshan Ding +4 more·Oct 21, 2021
Parameterized Quantum Circuits (PQC) are promising towards quantum advantage on near-term quantum hardware. However, due to the large quantum noises (errors), the performance of PQC models has a severe degradation on real quantum devices. Take Quantu...
Localized Quantum Chemistry on Quantum Computers
M. Otten, M. Hermes, Riddhish Pandharkar +3 more·Oct 21, 2021
Quantum chemistry calculations of large, strongly correlated systems are typically limited by the computation cost that scales exponentially with the size of the system. Quantum algorithms, designed specifically for quantum computers, can alleviate t...
Low-overhead fault-tolerant quantum computing using long-range connectivity
Lawrence Z. Cohen, Isaac H. Kim, S. Bartlett +1 more·Oct 20, 2021
Vast numbers of qubits will be needed for large-scale quantum computing because of the overheads associated with error correction. We present a scheme for low-overhead fault-tolerant quantum computation based on quantum low-density parity-check (LDPC...
Machine learning for continuous quantum error correction on superconducting qubits
Ian Convy, Haoran Liao, Song Zhang +5 more·Oct 20, 2021
Continuous quantum error correction has been found to have certain advantages over discrete quantum error correction, such as a reduction in hardware resources and the elimination of error mechanisms introduced by having entangling gates and ancilla ...
Detecting Entanglement-Generating Circuits in Cloud-Based Quantum Computing
J. Seong, J. Bae·Oct 20, 2021
Entanglement, a direct consequence of elementary quantum gates such as controlled-NOT or Toffoli gates, is a key resource that leads to quantum advantages. In this work, we establish the framework of certifying entanglement generation in cloud-based ...
Tight Bounds on the Spooky Pebble Game: Recycling Qubits with Measurements
Niels Kornerup, J. Sadun, D. Soloveichik·Oct 18, 2021
Pebble games are popular models for analyzing time-space trade-offs. In particular, reversible pebble game strategies are frequently applied in quantum algorithms like Grover's search to efficiently simulate classical computation on inputs in superpo...
Classical-To-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks
Jun Qi, Javier Tejedor·Oct 17, 2021
This work investigates an extension of transfer learning applied in machine learning algorithms to the emerging hybrid end-to-end quantum neural network (QNN) for spoken command recognition (SCR). Our QNN-based SCR system is composed of classical and...
Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm
Xin Wang·Oct 15, 2021
Optimizing parameterized quantum circuits promises efficient use of near-term quantum computers to achieve the potential quantum advantage. However, there is a notorious tradeoff between the expressibility and trainability of the parameter ansatz. We...
Scalable and robust quantum computing on qubit arrays with fixed coupling
Nguyen H. Le, Max Cykiert, E. Ginossar·Oct 14, 2021
We propose a scheme for scalable and robust quantum computing on two-dimensional arrays of qubits with fixed longitudinal coupling. This opens the possibility for bypassing the device complexity associated with tunable couplers required in convention...
Integrated programmable controlled phase gate design for quantum information processing
Y. Başay, S. Kocaman·Oct 13, 2021
An integrated programmable controlled-phase (CPHASE) gate has been proposed for quantum information processing applications. This gate can introduce arbitrary phase difference to the target qubit in the case of the control qubit being in the state of...
Depth Optimized Ansatz Circuit in QAOA for Max-Cut
Ritajit Majumdar, Debasmita Bhoumik, Dhiraj Madan +3 more·Oct 9, 2021
While a Quantum Approximate Optimization Algorithm (QAOA) is intended to provide a quantum advantage in finding approximate solutions to combinatorial optimization problems, noise in the system is a hurdle in exploiting its full potential. Several er...
Quantum pixel representations and compression for N-dimensional images
Mercy G. Amankwah, Daan Camps, E. .. Bethel +2 more·Oct 8, 2021
We introduce a novel and uniform framework for quantum pixel representations that overarches many of the most popular representations proposed in the recent literature, such as (I)FRQI, (I)NEQR, MCRQI, and (I)NCQI. The proposed QPIXL framework result...
Variational Determination of Multiqubit Geometrical Entanglement in Noisy Intermediate-Scale Quantum Computers
A. Muñoz-Moller, L. Pereira, L. Zambrano +2 more·Oct 7, 2021
Current noise levels in physical realizations of qubits and quantum operations limit the applicability of conventional methods to characterize entanglement. In this adverse scenario, we follow a quantum variational approach to estimate the geometric ...
Large-bandwidth Transduction Between an Optical Single Quantum Dot Molecule and a Superconducting Resonator
Yuta Tsuchimoto, Zhe Sun, E. Togan +6 more·Oct 7, 2021
Quantum transduction between the microwave and optical domains is an outstanding challenge for long-distance quantum networks based on superconducting qubits. For all transducers realized to date, the generally weak light-matter coupling does not all...
Supervised Learning Enhanced Quantum Circuit Transformation
Xiang-Yu Zhou, Yuan Feng, Sanjiang Li·Oct 6, 2021
A quantum circuit transformation (QCT) is required when executing a quantum program in a real quantum processing unit (QPU). By inserting auxiliary SWAP gates, a QCT algorithm transforms a quantum circuit to one that satisfies the connectivity constr...
Feasible Architecture for Quantum Fully Convolutional Networks
Yusui Chen, Wenhao Hu, Xiang Li·Oct 5, 2021
Fully convolutional networks are robust in performing semantic segmentation, with many applications from signal processing to computer vision. From the fundamental principles of variational quantum algorithms, we propose a feasible pure quantum archi...
Experimental determination of a multiqubit ground state via a cluster mean-field algorithm
Z. Zhan, Y. Fei, C. Run +8 more·Oct 3, 2021
A quantum eigensolver is designed under a multi-layer cluster mean-field (CMF) algorithm by partitioning a quantum system into spatially-separated clusters. For each cluster, a reduced Hamiltonian is obtained after a partial average over its environm...