Symbols Archives - IEEE Transactions on Quantum Engineering

Quantum Rotation Diversity in Displaced Squeezed Binary Phase-Shift Keying

January 29, 2026Ioannis KrikidisQuantum InternetBinary phase shift keying, Fading channels, Noise, Optical fiber communication, Optical fibers, Optical receivers, Optical transmitters, Photonics, Symbols, Wireless communication

Abstract: We propose a quantum rotation diversity (QRD) scheme for optical quantum communication using binary phase-shift-keying displaced squeezed states and homodyne detection over Gamma–Gamma turbulence channels. Consecutive temporal modes are coupled by a passive orthogonal rotation that redistributes the displacement amplitude between slots, yielding a diversity order of two under independent fading and joint maximum-likelihood […]

Generating Shuttling Procedures for Constrained Silicon Quantum Dot Array

February 14, 2025Naoto Sato, Tomonori Sekiguchi, Takeru Utsugi, Hiroyuki MizunoQuantum SoftwareCrosstalk, Electrons, Large scale integration, Logic gates, Quantum circuit, Quantum dots, Qubit, Silicon, Symbols, Voltage measurement

In silicon quantum computers, a single electron is trapped in a microstructure called a quantum dot, and its spin is used as a qubit. For large-scale integration of qubits, we previously proposed an approach of sharing a control gate in the row or column of a 2-D quantum dot array. In our array, the shuttling […]

Advance Sharing Procedures for the Ramp Quantum Secret Sharing Schemes With the Highest Coding Rate

January 17, 2025Ryutaroh MatsumotoQuantum InformationCryptography, Encoding, Finite element analysis, Hands, Proposals, Quantum state, Reviews, Standards, Symbols, Teleportation

Abstract: In some quantum secret sharing schemes, it is known that some shares can be distributed to participants before a secret is given to the dealer. However, it is unclear whether some shares can be distributed before a secret is given in the ramp quantum secret sharing schemes with the highest coding rate. This article […]

Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach

October 2, 2023Mohammad Ali JavidianQuantum ComputingData models, Hidden Markov models, Markov processes, Quantum system, Speech recognition, Symbols, Tensors

This article proposes circular hidden quantum Markov models (c-HQMMs), which can be applied for modeling temporal data. We show that c-HQMMs are equivalent to a tensor network (more precisely, circular local purified state) model. This equivalence enables us to provide an efficient learning model for c-HQMMs. The proposed learning approach is evaluated on six real […]