activity
20172023
most citedAn Accurate Bilinear Cavern Model for Compressed Air Energy Storage

25 citations · 34 across the 10 of their papers we have counts for

collaborators

10 papers

quant-ph2023

Comparison of Quantum Simulators for Variational Quantum Search: A Benchmark Study

Mohammadreza Soltaninia, Junpeng Zhan

Simulating quantum circuits using classical computers can accelerate the development and validation of quantum algorithms. Our newly developed algorithm, variational quantum search…

quant-ph2023

Quantum Multiplier Based on Exponent Adder

Junpeng Zhan

Quantum multiplication is a fundamental operation in quantum computing. It is important to have a quantum multiplier with low complexity. In this paper, we propose the Quantum Mult…

quant-ph2023

Shallow Depth Factoring Based on Quantum Feasibility Labeling and Variational Quantum Search

Imran Khan Tutul, Sara Karimi, Mohammadreza Soltaninia +1

Large integer factorization is a prominent research challenge, particularly in the context of quantum computing. This holds significant importance, especially in information securi…

quant-ph2023★ 1 cited

Near-perfect Reachability of Variational Quantum Search with Depth-1 Ansatz

Junpeng Zhan

Grover's search algorithm is renowned for its dramatic speedup in solving many important scientific problems. The recently proposed Variational Quantum Search (VQS) algorithm has s…

quant-ph2023★ 3 cited

Quantum Feasibility Labeling for NP-complete Vertex Coloring Problem

Junpeng Zhan

Many important science and engineering problems can be converted into NP-complete problems which are of significant importance in computer science and mathematics. Currently, neith…

quant-ph2022★ 1 cited

Variational Quantum Search with Shallow Depth for Unstructured Database Search

Junpeng Zhan

With the advent of powerful quantum computers, the quest for more efficient quantum algorithms becomes crucial in attaining quantum supremacy over classical counterparts in the noi…

quant-ph2022★ 3 cited

Expressibility-Enhancing Strategies for Quantum Neural Networks

Yalin Liao, Junpeng Zhan

Quantum neural networks (QNNs), represented by parameterized quantum circuits, can be trained in the paradigm of supervised learning to map input data to predictions. Much work has…

eess.SP2019★ 25 cited

An Accurate Bilinear Cavern Model for Compressed Air Energy Storage

Junpeng Zhan, Osama Aslam Ansari, Weijia Liu +1

Compressed air energy storage is suitable for large-scale electrical energy storage, which is important for integrating renewable energy sources into electric power systems. A typi…

eess.SP2017

Compressed Air Energy Storage-Part II: Application to Power System Unit Commitment

Junpeng Zhan, Yunfeng Wen, Osama Aslam Ansari +1

Unit commitment (UC) is one of the most important power system operation problems. To integrate higher penetration of wind power into power systems, more compressed air energy stor…

eess.SP2017★ 1 cited

Compressed Air Energy Storage-Part I: An Accurate Bi-linear Cavern Model

Junpeng Zhan, Osama Aslam Ansari, C. Y. Chung

Compressed air energy storage (CAES) is suitable for large-scale energy storage and can help to increase the penetration of wind power in power systems. A CAES plant consists of co…