• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
FacebookTwitterLinkedInInstagramYoutube
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • /Digital Library
  • /Journals
  • /Tc
  • Home
  • / ...
  • /Journals
  • /Tc

CLOSED Call for Papers: Special Issue on Quantum Computing

IEEE Transactions on Computers seeks original manuscripts for this upcoming special issue.

Quantum computers promise dramatic improvements in our ability to efficiently solve classically intractable problems ranging from cryptosystems, to the simulation of quantum systems, to optimization and machine learning. Recent progress in the development of quantum-computing systems has been profound, with demonstrations of 53-qubit entanglement, improvements in classical simulations of quantum systems, and advances in the algorithms and software tools required to program these devices. Despite these advances, many challenges remain across the full quantum compute stack to achieve the ultimate promises of quantum computing. Unlocking solutions to some of the world’s most challenging problems will require a scalable quantum-computing system; every layer of the stack requires breakthrough innovations to enable scaling to millions of qubits and beyond, from the applications, algorithms, and software to the control and hardware devices. The system is not just limited to the quantum computer; advances in quantum networking and communication are also needed. And while quantum computers are a promising computational accelerator, our understanding of applications that can be improved today through quantum-inspired algorithms running on classical hardware is also progressing.

This special issue of IEEE Transactions on Computers (TC) will explore advances on all topics related to quantum accelerators, scalable quantum-computing systems, classical simulation methods, and new trends in quantum and quantum-inspired algorithms and applications. Topics of interest to this special issue include, but are not limited to:

  • Microarchitectures of quantum accelerators
  • Design methodologies for quantum accelerators and scalable quantum-computing systems
  • System software, runtime, compiler, and language designs for quantum accelerators and quantum networking
  • New tools to design/build/optimize/debug quantum hardware devices and quantum software
  • Characterization, validation and verification methods for quantum hardware and software, including benchmarking
  • Trends and advances in quantum networking and communication
  • Performance evaluation methods for quantum accelerators or quantum networks
  • Fault tolerance methods for quantum accelerators including quantum error correction
  • Quantum-inspired algorithm acceleration on conventional technologies such as GPU, FPGA, and ASIC
  • Acceleration of new quantum algorithms and applications
  • Acceleration of simulating quantum computers and algorithms on classical hardware
  • Application case studies and evaluations
  • Emerging trends in quantum algorithms

Submission Guidelines

Submitted papers must include new significant research-based technical contributions in the scope of the journal. Papers under review elsewhere are not acceptable for submission. Extended versions of published conference papers (to be included as part of the submission together with a summary of differences) are welcome, but there must be at least 40% new impacting technical/scientific material in the submitted journal version and there should be less than 50% verbatim similarity level as reported by a tool (such as CrossRef). Guidelines concerning the submission process and LaTeX and Word templates can be found here. While submitting through ScholarOne (at https://mc.manuscriptcentral.com/tc-cs), please select this special-issue option. As per TC policies, only full-length papers (12 pages) can be submitted to special issues/sections, and each author’s bio should not exceed 150 words.

Important Dates

• Submission Deadline: CLOSED

• Reviews Completed: May 30, 2020

• Major Revisions Due: June 30, 2020

• Reviews of Revisions Completed: July 15, 2020

• Notification of Final Acceptance: August 1, 2020

• Publication Materials for Final Manuscripts Due: August 15, 2020

• Publication: October 2020

Questions?

Please address all correspondence regarding this special issue to Lead Guest Editor Krysta Svore (ksvore@microsoft.com).

Guest Editors

Dr. Krysta M. Svore

Microsoft Quantum, Microsoft

ksvore@microsoft.com

Dr. Travis Humble

Oak Ridge National Laboratory

humblets@ornl.gov

Corresponding Topical Editor (CTE)

Dmitri Maslov

Chief Software Architect, IBM

dmitri.maslov@gmail.com

LATEST NEWS
From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities
From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Autonomous Observability: AI Agents That Debug AI
Autonomous Observability: AI Agents That Debug AI
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Read Next

From Isolation to Innovation: Establishing a Computer Training Center to Empower Hinterland Communities

IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT

Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)

Autonomous Observability: AI Agents That Debug AI

Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference

Copilot Ergonomics: UI Patterns that Reduce Cognitive Load

The Myth of AI Neutrality in Search Algorithms

Gen AI and LLMs: Rebuilding Trust in a Synthetic Information Age

Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter