Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Alternative approach to quantum imaginary time evolution
P. Jouzdani, Calvin W. Johnson, E. Mucciolo +1 more·Aug 22, 2022
There is increasing interest in quantum algorithms that are based on the imaginary-time evolution (ITE), a successful classical numerical approach to obtain ground states. However, most of the proposals so far require heavy post-processing computatio...
A hybrid classical-quantum algorithm for digital image processing
Alok Shukla, P. Vedula·Aug 20, 2022
A hybrid classical-quantum approach for evaluation of multi-dimensional Walsh–Hadamard transforms and its applications to quantum image processing are proposed. In this approach, multi-dimensional Walsh–Hadamard transforms are obtained using quantum ...
Towards the simulation of transition-metal oxides of the cathode battery materials using VQE methods
M. Farag, J. Ghosh·Aug 16, 2022
Variational quantum eigensolver (VQE) is a hybrid quantum-classical technique that leverages noisy intermediate scale quantum (NISQ) hardware to obtain the minimum eigenvalue of a model Hamiltonian. VQE has so far been used to simulate condensed matt...
Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices
A. Glos, A. Nykanen, Elsi-Mari Borrelli +4 more·Aug 16, 2022
We present adaptive measurement techniques tailored for variational quantum algorithms on near-term small and noisy devices. In particular, we generalise earlier learning to measure strategies in two ways. First, by considering a class of adaptive po...
Modeling and simulation of a quantum thermal noise on the qubit
F. Chapeau-Blondeau·Aug 15, 2022
Quantum noise or decoherence is a major factor impacting the performance of quantum technologies. On the qubit, an important quantum noise, often relevant in practice, is the thermal noise or generalized amplitude damping noise, describing the intera...
Time-marching based quantum solvers for time-dependent linear differential equations
Di Fang, Lin Lin, Yu Tong·Aug 14, 2022
The time-marching strategy, which propagates the solution from one time step to the next, is a natural strategy for solving time-dependent differential equations on classical computers, as well as for solving the Hamiltonian simulation problem on qua...
Imperfect Quantum Photonic Neural Networks
Jacob Ewaniuk, J. Carolan, B. Shastri +1 more·Aug 13, 2022
Quantum photonic neural networks are variational photonic circuits that can be trained to implement high‐fidelity quantum operations. However, work‐to‐date has assumed idealized components, including a perfect π Kerr nonlinearity. This work investiga...
CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering
Anbang Wu, Yufei Ding, A. Li·Aug 13, 2022
The noisy and lengthy nature of quantum communication hinders the development of distributed quantum computing. The inefficient design of existing compilers for distributed quantum computing worsens the situation. Previous compilation frameworks coup...
Evaluating the resilience of variational quantum algorithms to leakage noise
Chen Ding, Xiao-Yue Xu, Shuo Zhang +2 more·Aug 10, 2022
As we are entering the era of constructing practical quantum computers, suppressing the inevitable noise to accomplish reliable computational tasks will be the primary goal. Leakage noise, as the amplitude population leaking outside the qubit subspac...
Automated Generation of Shuttling Sequences for a Linear Segmented Ion Trap Quantum Computer
J. Durandau, Janis Wagner, F. Mailhot +4 more·Aug 9, 2022
A promising approach for scaling-up trapped-ion quantum computer platforms is by storing multiple trapped-ion qubit sets ('ion crystals') in segmented microchip traps and to interconnect these via physical movement of the ions ('shuttling'). Already ...
Jellybean Quantum Dots in Silicon for Qubit Coupling and On‐Chip Quantum Chemistry
Zeheng Wang, M. Feng, S. Serrano +15 more·Aug 8, 2022
The small size and excellent integrability of silicon metal–oxide–semiconductor (SiMOS) quantum dot spin qubits make them an attractive system for mass‐manufacturable, scaled‐up quantum processors. Furthermore, classical control electronics can be in...
Effect of fast noise on the fidelity of trapped-ion quantum gates
Haim Nakav, R. Finkelstein, Lee Peleg +2 more·Aug 6, 2022
High fidelity single and multi-qubit operations compose the backbone of quantum information processing. This fidelity is based on the ability to couple single- or two-qubit levels in an extremely coherent and precise manner. A necessary condition for...
Influence of errors on the transport of quantum information through distant quantum dot spin qubits
Iann Cunha, L. Castelano·Aug 5, 2022
The ability to connect distant qubits plays a fundamental role in quantum computing. Therefore, quantum systems candidates for quantum computation must be able to interact all their constituent qubits. Here, we model the quantum dot spin qubits by a ...
Quantum Error Correction Via Noise Guessing Decoding
Diogo Cruz, F. A. Monteiro, B. Coutinho·Aug 4, 2022
Quantum error correction codes (QECCs) play a central role in both quantum communications and quantum computation. Practical quantum error correction codes, such as stabilizer codes, are generally structured to suit a specific use, and present rigid ...
Implementing Fault-tolerant Entangling Gates on the Five-qubit Code and the Color Code
C. Ryan-Anderson, N. C. Brown, M. S. Allman +34 more·Aug 3, 2022
We compare two different implementations of fault-tolerant entangling gates on logical qubits. In one instance, a twelve-qubit trapped-ion quantum computer is used to implement a non-transversal logical CNOT gate between two five qubit codes. The ope...
Techniques for combining fast local decoders with global decoders under circuit-level noise
C. Chamberland, L. Gonçalves, P. Sivarajah +2 more·Aug 2, 2022
Implementing algorithms on a fault-tolerant quantum computer will require fast decoding throughput and latency times to prevent an exponential increase in buffer times between the applications of gates. In this work we begin by quantifying these requ...
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms
Zhiding Liang, Jinglei Cheng, Hang Ren +8 more·Aug 2, 2022
Variational quantum algorithms (VQAs) have demonstrated great potentials in the noisy intermediate scale quantum (NISQ) era. In the workflow of VQA, the parameters of ansatz are iteratively updated to approximate the desired quantum states. We have s...
Simulating Quantum Circuits Using Efficient Tensor Network Contraction Algorithms with Subexponential Upper Bound.
T. Wahl, Sergii Strelchuk·Aug 2, 2022
We derive a rigorous upper bound on the classical computation time of finite-ranged tensor network contractions in d≥2 dimensions. Consequently, we show that quantum circuits of single-qubit and finite-ranged two-qubit gates can be classically simula...
Realizing two-qubit gates through mode engineering on a trapped-ion quantum computer
Ming Li, N. Nguyen, Alaina M. Green +3 more·Aug 2, 2022
Two-qubit gates are a fundamental constituent of a quantum computer and typically its most challenging operation. In a trapped-ion quantum computer, this is typically implemented with laser beams which are modulated in amplitude, frequency, phase, or...
Quantum multi-programming for Grover’s search
Gilchan Park, Kun Zhang, Kwangmin Yu +1 more·Jul 29, 2022
Quantum multi-programming is a method utilizing contemporary noisy intermediate-scale quantum computers by executing multiple quantum circuits concurrently. Despite early research on it, the research remains on quantum gates or small-size quantum alg...