Call for Technical Papers

Scope and Goals

IEEE Quantum Week aims to be a leading venue for presenting high-quality original research, ground-breaking innovations, and compelling insights in quantum computing and engineering. Technical papers are peer-reviewed, can be on any topic related to quantum computing and engineering, and will be considered by one of the following technical paper tracks.


Proceedings & Best Papers

Technical Paper Types & Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are available:

  • Full papers are 8-10 pages (including figures and tables and appendices), plus two additional pages for references. Full papers should fall into one of the following categories:
    1. Research papers (RESP) that describe the paper’s contributions and/or innovations as well as the research methods used.
    2. Survey papers (SURP) that describe a survey on a research topic in the fields of quantum computing and engineering.
  • Short papers are 4-6 pages (including figures and tables and appendices), plus one additional page of references. Short papers should fall into one of the following categories:
    1. New Ideas and Emergent Results (NIER) papers describe novel and promising ideas and/or techniques that are in an early stage of development.
    2. Experience and Application (EXAP) papers describe the experiences gained from applying/evaluating quantum computing and engineering research results in practice. It is encouraged that the partners from both practice and research join in the effort as co-authors and that the paper reflects the perspective of both sides. The papers should emphasize the value of the experience to the community.
    3. Artifact papers (ARTI) describe model problems, exemplars, or useful sets of resources for the broader quantum computing and engineering community.
  • Submit your paper using the EasyChair submission website to one of the Paper Tracks (i.e., QALG, QAPP, QTEM, QSYS, QML, QPHO, or QNET) described above. 
  • Organizers and track chairs greatly appreciated your early abstract submission for planning purposes. To submit your abstract early, enter the author information, title, abstract, and keywords in the EasyChair submission text boxes. This information can be updated later if need be. Early abstract submission is optional but encouraged.
  • Indicate the Paper Type (i.e., RESP, SURP, NIER, EXAP, ARTI) in the file name and description of your EasyChair submission.

Each technical paper must conform at the time of submission to the IEEE Formatting Instructions (i.e., title in 24pt font and full text in 10pt type, LaTEX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf option). The submission must also comply with the IEEE Policy on Authorship. 

Important Technical Paper Submission Requirements

  • By submitting a technical paper to IEEE Quantum Week 2024, you are making a commitment for at least one author to register in-person and attend the conference upon acceptance of your paper.

Technical Paper Track

Quantum Algorithms (QALG)

The theory of solving problems with quantum computers.

  • Quantum information science
  • Quantum algorithm structures and patterns
  • Quantum algorithms and complexity
  • New NISQ-friendly algorithms
  • Error correction and mitigation algorithms
  • Fault-tolerant quantum algorithms
  • Advances in hybrid variational algorithms
  • Advances in hybrid QAOA algorithms
  • New quantum solver approaches
  • Quantum linear algebra
  • Advances in tensor network algorithms
  • Advances in encoding and learning algorithms
  • Advances in Hamiltonian dynamics
  • Quantum cryptography
  • Secure quantum computing
  • Privacy-preserving quantum computing
Quantum Applications (QAPP)

The practice of solving problems with quantum computers.

  • Towards Quantum advantage
  • Towards fault tolerance and realization of quantum error correction at application level
  • Quantum Machine Learning (QML) applications
  • NISQ and fault-tolerant applications
  • Quantum simulation of physical systems
  • Applications — chemistry, machine learning, finance, optimization, biological sciences, and other science & engineering applications
  • Applications of quantum annealing
  • Quantum for generative AI
  • Integrated high-performance computing (HPC) and quantum applications
  • Performance evaluation of quantum algorithms
  • Optimization problems—transportation, supply chain & logistics
  • Quantum AI & decision making
  • Quantum medical applications & precision health applications
  • Quantum DNA and protein sequencing
  • Quantum finance
Quantum Photonics (QPHO)

The design and architecture of quantum photonic technologies and systems engineering.

  • Quantum photonic information science and technology
  • Quantum computing with photonic systems
  • Quantum entanglement and teleportation
  • Optical quantum computing
  • Photonic quantum technologies
  • Photonic quantum computers
  • Integrated quantum photonics
  • Photonics-based qubit technologies
  • Photonic quantum simulation
  • Silicon photonic devices
  • Photon sources and detectors
  • Quantum sensing and metrology
Quantum System Software (QSYS)

The design, architecture, and operation of full-stack quantum computing systems.

  • Full quantum software stack: compilers, runtimes, workflows, languages, transpilers, profilers
  • Quantum programming, development kits (QDKs), test harnesses, debuggers
  • Quantum languages and intermediate representations (IRs)
  • Quantum simulators
  • Quantum software engineering
  • Generative AI in quantum software development and systems software
  • Software for co-design
  • Hybrid quantum-classical systems
  • Resource estimation
  • Quantum control software
  • Interfacing classical control and quantum hardware through software
  • Error correction and mitigation
  • Fault-tolerant computing at the system software level
  • Testing, validation, and verification of quantum programs and systems
  • Benchmarking of quantum systems, quantum volume and other metrics
  • Software techniques for error correction and noise mitigation
  • Hardware-software stacks for error mitigation
  • Quantum software in enterprise systems
  • Secure quantum systems
  • Privacy-preserving quantum systems
Quantum Technologies and Systems Engineering (QTEM)
 The design and architecture of quantum technologies and systems engineering for computation and sensing.
  • Superconducting quantum technologies
  • Quantum annealing technologies
  • Trapped ion quantum technologies
  • Silicon quantum technologies
  • Quantum dot technologies
  • Neutral atom quantum technologies
  • Topological quantum technologies
  • Hardware-software stack for quantum annealers, trapped ions, superconducting, photonics, neutral atoms, and others
  • Quantum characterization, verification & validation: benchmarking and tomography
  • Qubit design and control
  • Packaging and cooling
  • Cryogenics
  • Quantum electronics
  • Pulse-level control of qubits
  • Sensing and metrology
  • Characterization and hardware mitigation of noise, state preparation and measurement errors
Quantum Machine Learning (QML)

The practice of combining quantum computing and machine learning for innovative application development.

  • Quantum algorithms for machine learning tasks
  • AI-assisted quantum information science
  • Quantum-enhanced machine learning
  • Quantum-inspired models and machine learning
  • Quantum Boltzmann Machines
  • Quantum Neural Networks (QNNs)
  • Quantum Support Vector Machines (QSVMs)
  • Quantum Generative Adversarial Networks (QGANs)
  • Quantum Generative AI
  • Training machine learning models
  • Quantum algorithms for reinforcement learning
  • Quantum clustering and classification
  • Advances in encoding and learning algorithms
  • Benchmarking of quantum systems, quantum volume and other metrics
  • Quantum machine learning theory
  • Quantum error correction and mitigation
  • Fault-tolerant QML applications
  • Quantum state tomography
  • Quantum machine learning applications
  • QML software and libraries
  • QML benchmarks

Quantum Networking & Communications (QNET)
 Quantum techniques and technologies for networking and communications
  • Quantum internet
  • Quantum networking
  • Quantum switches, routers, repeaters, and other hardware components
  • Signal processing algorithms for quantum communication
  • Optical quantum communications
  • Intra-chip and inter-chip communication
  • Secure communication in quantum networks
  • Quantum cryptography
  • Quantum key distribution (QKD)
  • Post-quantum cryptography
  • Distributed quantum computing
  • Cloud quantum computing
  • Secure quantum computing
  • Privacy-preserving quantum protocols