Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Dynamic adaptive quantum approximate optimization algorithm for shallow, noise-resilient circuits
Nikola Yanakiev, N. Mertig, Christopher K. Long +1 more·Aug 31, 2023
The quantum approximate optimization algorithm (QAOA) is an appealing proposal to solve NP problems on noisy intermediate-scale quantum (NISQ) hardware. Making NISQ implementations of the QAOA resilient to noise requires short ansatz circuits with as...
High-Precision Observable Estimation with Single Qubit Quantum Memory
L. A. Markovich, J. Borregaard·Aug 31, 2023
The estimation of multi-qubit observables is a key task in quantum information science. The standard approach is to decompose a multi-qubit observable into a weighted sum of Pauli strings. The observable can then be estimated from projective single q...
What can we Learn from Quantum Convolutional Neural Networks?
Chukwudubem Umeano, Annie E. Paine, V. Elfving +1 more·Aug 31, 2023
Quantum machine learning (QML) shows promise for analyzing quantum data. A notable example is the use of quantum convolutional neural networks (QCNNs), implemented as specific types of quantum circuits, to recognize phases of matter. In this approach...
Efficient Approximation of Quantum Channel Fidelity Exploiting Symmetry
Yeow Meng Chee, Hoang Ta, Van Khu Vu·Aug 30, 2023
Determining the optimal fidelity for the transmission of quantum information over noisy quantum channels is one of the central problems in quantum information theory. Recently, [Berta-Borderi-Fawzi-Scholz, Mathematical Programming, 2021] introduced a...
Performance of Rotation‐Symmetric Bosonic Codes in a Quantum Repeater Network
Peipei Li, Josephine Dias, W. Munro +3 more·Aug 30, 2023
Quantum error correction codes based on continuous variables play an important role for the implementation of quantum communication systems. A natural application of such codes occurs within quantum repeater systems which are used to combat severe ch...
Hybrid quantum neural network structures for image multi-classification
Mingrui Shi, Haozhen Situ, Cai Zhang·Aug 30, 2023
Image classification is a fundamental problem in computer vision, and neural networks provide an effective solution. With the advancement of quantum technology, quantum neural networks have attracted a lot of attention. However, they are only suitabl...
Sequential quantum simulation of spin chains with a single circuit QED device
Yuxuan Zhang, Shahin Jahanbani, Ameya Riswadkar +2 more·Aug 30, 2023
Quantum simulation of many-body systems in materials science and chemistry are promising application areas for quantum computers. However, the limited scale and coherence of near-term quantum processors pose a significant obstacle to realizing this p...
Thermodynamic computing via autonomous quantum thermal machines
Patryk Lipka-Bartosik, M. Perarnau-Llobet, N. Brunner·Aug 30, 2023
We develop a physics-based model for classical computation based on autonomous quantum thermal machines. These machines consist of few interacting quantum bits (qubits) connected to several environments at different temperatures. Heat flows through t...
Bounds on Autonomous Quantum Error Correction
O. Shtanko, Yu-Jie Liu, S. Lieu +2 more·Aug 30, 2023
Autonomous quantum memories are a way to passively protect quantum information using engineered dissipation that creates an “always-on'' decoder. We analyze Markovian autonomous decoders that can be implemented with a wide range of qubit and bosonic ...
Single-ancilla ground state preparation via Lindbladians
Zhiyan Ding, Chi-Fang Chen, Lin Lin·Aug 30, 2023
We design a quantum algorithm for ground state preparation in the early fault tolerant regime. As a Monte Carlo style quantum algorithm, our method features a Lindbladian where the target state is stationary. The construction of this Lindbladian is a...
How does post-quantum cryptography affect Central Bank Digital Currency?
Lars Hupel, Makan Rafiee·Aug 30, 2023
Central Bank Digital Currency (CBDC) is an emerging trend in digital payments, with the vast majority of central banks around the world researching, piloting, or even operating a digital version of cash. While design choices differ broadly, such as a...
Programmable Quantum Simulations on a Trapped-Ion Quantum Computer with a Global Drive.
Yotam Shapira, Jovan Markov, N. Akerman +2 more·Aug 30, 2023
Simulation of quantum systems is notoriously challenging for classical computers, while quantum hardware is naturally well-suited for this task. However, the imperfections of contemporary quantum systems pose a considerable challenge in carrying out ...
Progress on the Kretschmann-Schlingemann-Werner Conjecture
Frederik vom Ende·Aug 29, 2023
Given any pair of quantum channels $Φ_1,Φ_2$ such that at least one of them has Kraus rank one, as well as any respective Stinespring isometries $V_1,V_2$, we prove that there exists a unitary $U$ on the environment such that $\|V_1-({\bf1}\otimes U)...
Readout using resonant tunneling in silicon spin qubits
T. Tanamoto, K. Ono·Aug 29, 2023
Spin qubit systems are one of the promising candidates for quantum computing. The quantum dot (QD) arrays are intensively investigated by many researchers. Because the energy-difference between the up-spin and down-spin states is very small, the dete...
Universal control of a bosonic mode via drive-activated native cubic interactions
A. Eriksson, Th'eo S'epulcre, Mikael Kervinen +9 more·Aug 29, 2023
Linear bosonic modes offer a hardware-efficient alternative for quantum information processing but require access to some nonlinearity for universal control. The lack of nonlinearity in photonics has led to encoded measurement-based quantum computing...
Surpassing millisecond coherence times in on-chip superconducting quantum memories by optimizing materials, processes, and circuit design
S. Ganjam, Yanhao Wang, Yao Lu +10 more·Aug 29, 2023
The performance of superconducting quantum circuits for quantum computing has advanced tremendously in recent decades; however, a comprehensive understanding of relaxation mechanisms does not yet exist. In this work, we utilize a multimode approach t...
Probing Quantum Telecloning on Superconducting Quantum Processors
Elijah Pelofske, Andreas Bärtschi, S. Eidenbenz +2 more·Aug 29, 2023
Quantum information cannot be perfectly cloned, but approximate copies of quantum information can be generated. Quantum telecloning combines approximate quantum cloning, more typically referred to as quantum cloning, and quantum teleportation. Quantu...
Single-Shot Single-Mode Optical Two-Parameter Displacement Estimation beyond Classical Limit.
F. Hanamura, W. Asavanant, Seigo Kikura +8 more·Aug 29, 2023
Uncertainty principle prohibits the precise measurement of both components of displacement parameters in phase space. We have theoretically shown that this limit can be beaten using single-photon states, in a single-shot and single-mode setting [F. H...
Distance-preserving stabilizer measurements in hypergraph product codes
Argyris Giannisis Manes, J. Claes·Aug 29, 2023
Unlike the surface code, quantum low-density parity-check (QLDPC) codes can have a finite encoding rate, potentially lowering the error correction overhead. However, finite-rate QLDPC codes have nonlocal stabilizers, making it difficult to design sta...
Quantum simulation approach to implementing nuclear density functional theory via imaginary time evolution
Y. Li, J. Al-Khalili, P. Stevenson·Aug 29, 2023
The quantum imaginary time evolution (QITE) algorithm is a direct implementation of the classical imaginary time evolution algorithm on quantum computer. We implement the QITE algorithm for the case of nuclear Hartree-Fock equations in a formalism eq...