Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Superdiffusive quantum work and adiabatic quantum evolution in finite temperature chaotic Fermi systems
András Grabarits, M. Kormos, I. Lovas +1 more·Apr 25, 2022
We study the full distribution of quantum work in generic, noninteracting, disordered fermionic nanosystems at finite temperature. We derive an analytical determinant formula for the characteristic function of work statistics for quantum quenches sta...
Simulating key properties of lithium-ion batteries with a fault-tolerant quantum computer
A. Delgado, Pablo Antonio Moreno Casares, R. D. Reis +9 more·Apr 25, 2022
There is a pressing need to develop new rechargeable battery technologies that can offer higher energy storage, faster charging, and lower costs. Despite the success of existing methods for the simulation of battery materials, they can sometimes fall...
Travel time optimization on multi-AGV routing by reverse annealing
Renichiro Haba, Masayuki Ohzeki, Kazuyuki Tanaka·Apr 25, 2022
Quantum annealing has been actively researched since D-Wave Systems produced the first commercial machine in 2011. Controlling a large fleet of automated guided vehicles is one of the real-world applications utilizing quantum annealing. In this study...
Hybrid controlled-sum gate with one superconducting qutrit and one cat-state qutrit and application in hybrid entangled state preparation
Qi-Ping Su, Yu Zhang, Liang Bin +1 more·Apr 25, 2022
Compared with a qubit, a qudit (i.e., d -level or d -state quantum system) provides a larger Hilbert space to store and process information. On the other hand, qudit-based hybrid quantum computing usually requires performing hybrid quantum gates with...
A quantum Fourier transform (QFT) based note detection algorithm
Shlomo Kashani, Maryam Alqasemi, Jacob Hammond·Apr 25, 2022
In quantum information processing (QIP), the quantum Fourier transform (QFT) has a plethora of applications [1] [2] [3]: Shor’s algorithm and phase estimation are just a few well-known examples. Shor’s quantum factorization algorithm, one of the most...
Quantum polar stabilizer codes based on polarization of pure quantum channel don't work for quantum computing
Zhengzhong Yi, Z.-H. Liang, Yulin Wu +1 more·Apr 25, 2022
Inspired by classical polar codes, whose coding rate can asymptotically achieve the Shannon capacity, researchers are trying to find its analogue in quantum information field, which are called quantum polar codes. However, no one has designed a quant...
Distributed Grover's algorithm
Daowen Qiu, Leon Luo, Li Xiao·Apr 22, 2022
Let Boolean function $f:\{0,1\}^n\longrightarrow \{0,1\}$ where $|\{x\in\{0,1\}^n| f(x)=1\}|=a\geq 1$. To search for an $x\in\{0,1\}^n$ with $f(x)=1$, by Grover's algorithm we can get the objective with query times $\lfloor \frac{\pi}{4}\sqrt{\frac{2...
Partitioning qubits in hypergraph product codes to implement logical gates
A. O. Quintavalle, P. Webster, M. Vasmer·Apr 22, 2022
The promise of high-rate low-density parity check (LDPC) codes to substantially reduce the overhead of fault-tolerant quantum computation depends on constructing efficient, fault-tolerant implementations of logical gates on such codes. Transversal ga...
IBM Quantum Platforms: A Quantum Battery Perspective
G. Gemme, M. Grossi, D. Ferraro +2 more·Apr 22, 2022
We characterize for the first time the performances of IBM quantum chips as quantum batteries, specifically addressing the single-qubit Armonk processor. By exploiting the Pulse access enabled to some of the IBM Quantum processors via the Qiskit pack...
Lossy compression of matrices by black box optimisation of mixed integer nonlinear programming
T. Kadowaki, Mitsuru Ambai·Apr 22, 2022
In edge computing, suppressing data size is a challenge for machine learning models that perform complex tasks such as autonomous driving, in which computational resources (speed, memory size and power) are limited. Efficient lossy compression of mat...
Quantum Proof of Work with Parametrized Quantum Circuits
M. Shalaginov, M. Dubrovsky·Apr 22, 2022
Despite all the progress in quantum technologies over the last decade, there is still a dearth of practical applications for quantum computers with a small number of noisy qubits. The effort to show quantum supremacy has been largely focused on demon...
Quantum Davidson algorithm for excited states
N. Tkachenko, L. Cincio, A. Boldyrev +3 more·Apr 22, 2022
Excited state properties play a pivotal role in various chemical and physical phenomena, such as charge separation and light emission. However, the primary focus of most existing quantum algorithms has been the ground state, as seen in quantum phase ...
Grover search inspired alternating operator ansatz of quantum approximate optimization algorithm for search problems
Chen-Fu Chiang, P. Alsing·Apr 21, 2022
We use the mapping between two computation frameworks, Adiabatic Grover Search (AGS) and Adiabatic Quantum Computing (AQC), to translate the Grover search algorithm into the AQC regime. We then apply Trotterization on the schedule-dependent Hamiltoni...
A Structured Survey of Quantum Computing for the Financial Industry
F. D. Albareti, Thomas Ankenbrand, Denis Bieri +4 more·Apr 21, 2022
—Quantum computers can solve specific problems that are not feasible on "classical" hardware. Harvesting the speed-up provided by quantum computers therefore has the potential to change any industry which uses computation, including finance. First quan...
Quantum-Walk-Inspired Dynamic Adiabatic Local Search
Chen-Fu Chiang, P. Alsing·Apr 21, 2022
We investigate the irreconcilability issue that arises when translating the search algorithm from the Continuous Time Quantum Walk (CTQW) framework to the Adiabatic Quantum Computing (AQC) framework. For the AQC formulation to evolve along the same p...
Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models
J. Basso, D. Gamarnik, Song Mei +1 more·Apr 21, 2022
The Quantum Approximate Optimization Algorithm (QAOA) is a general purpose quantum algorithm designed for combinatorial optimization. We analyze its expected performance and prove concentration properties at any constant level (number of layers) on e...
Dynamical simulation via quantum machine learning with provable generalization
J. Gibbs, Zoe Holmes, Matthias C. Caro +5 more·Apr 21, 2022
Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to enhance dynamical simulations has not been thoroughly investigated. Her...
Scalable Measures of Magic Resource for Quantum Computers
T. Haug, M. Kim·Apr 21, 2022
Non-stabilizerness or magic resource characterizes the amount of non-Clifford operations needed to prepare quantum states. It is a crucial resource for quantum computing and a necessary condition for quantum advantage. However, quantifying magic reso...
Design of Cryogenic Fully Differential Gain Boosting-OTA by the $g_{m}/I_{d}$ methodology used for a 14 bit Pipelined-SAR ADC
M. Wen, C. Luo, Bolun Zeng +1 more·Apr 20, 2022
—Quantum computing (QC) requires cryogenic elec- tronic circuits as control and readout sub-systems of quantum chips to meet the qubit scale-up challenges.At this temper- ature,MOSFETs transistors exhibition many changes such as higher threshold volt...
Volumetric Benchmarking of Error Mitigation with Qermit
Cristina Cîrstoiu, Silas Dilkes, Daniel Mills +2 more·Apr 20, 2022
The detrimental effect of noise accumulates as quantum computers grow in size. In the case where devices are too small or noisy to perform error correction, error mitigation may be used. Error mitigation does not increase the fidelity of quantum stat...