Technical Papers Program

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. 

Contact

    Accepted Papers

    • The list of Accepted QCE24 Technical Papers will be published here on July 22, 2024.  

    Proceedings & Best Papers

     

    Reviewing Guidelines

    QCE24 received a record number of 450+ technical paper manuscripts―an increase of 150+ compared to QCE23. At least three reviewers must review each manuscript, and each reviewer is expected to review 6-8 papers.

    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