Research Overview
The original page addresses both quantum-assisted classical communication algorithms and quantum error protection. Topics include quantum search for difficult detection and routing problems, error mitigation for noisy devices, quantum turbo and LDPC-style codes, and quantum-approximate optimisation for maximum-likelihood detection.
Tutorial: Tutorial on Quantum Search Algorithms and their applications in Wireless Communications
Quantum Computing and Search Algorithms
Quantum search and optimisation can be applied to classical multiuser detection by representing candidate signal combinations as a cost-minimisation problem. The source considers hard-output and soft-output detection, fixed-complexity searches, channel-estimation-assisted receivers and precoding.
Selected Publications and Resources
Quantum-assisted Multi-User Wireless Systems
Quantum error mitigation aims to reduce computational bias on noisy devices without fully fault-tolerant error correction. The research evaluates the accuracy-versus-sampling-overhead trade-off, Monte Carlo channel inversion, permutation filters and circuit-oriented symmetry verification.
Selected Publications and Resources
- Quantum Search Algorithms, Quantum Wireless, and a Low-Complexity Maximum Likelihood Iterative Quantum Multi-User Detector Design
- Low-Complexity Iterative Quantum Multi-User Detection in SDMA Systems
- Low-Complexity Soft-Output Quantum-Assisted Multiuser Detection for Direct-Sequence Spreading and Slow Subcarrier-Hopping Aided SDMA-OFDM Systems
- Iterative Quantum-Assisted Multi-User Detection for Multi-Carrier Interleave Division Multiple Access Systems
- Non-Coherent Quantum Multiple Symbol Differential Detection for Wireless Systems
- Joint Quantum-Assisted Channel Estimation and Multi-User Detection for Non-Orthogonal Multiple Access Systems
Further Publications from the Original Research Page
- Fixed-Complexity Quantum-Assisted Multi-User Detection for CDMA and SDMA
- Joint Quantum-Assisted Channel Estimation and Multi-User Detection for Non-Orthogonal Multiple Access Systems
Additional Publications and Historical Demonstrations
- Wireless Myths, Realities, and Futures: From 3G/4G to Optical and Quantum Wireless
- Quantum-aided Multi-User Transmission in Non-Orthogonal Multiple Access Systems
- Quantum-Assisted Indoor Localization for Uplink mm-Wave and Downlink Visible Light Communication Systems
Quantum Error Mitigation
Quantum turbo and concatenated codes borrow iterative-design ideas from classical channel coding. EXIT charts are used to analyse decoding convergence, while entanglement-assisted designs, depolarising-channel benchmarks, syndrome processing and quantum LDPC codes address quantum-noise protection.
Further Publications from the Original Research Page
- The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation Using Monte Carlo-Based Channel Inversion
- Circuit-Oriented Symmetry Verification: From Quantum Switches to Spatio-Temporal Stabilizers
Hybrid variational quantum–classical computation
Permutation filter architecture
Monte Carlo QEM sampling-overhead comparison
Spatio-temporal stabiliser circuit
Additional Publications and Historical Demonstrations
- Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs. Coded Systems
Quantum Error Correction Codes
Quantum-assisted network routing combines combinatorial search with several competing metrics, including latency, energy consumption and traffic load. Pareto-based optimisation and socially aware load balancing are studied as alternatives to collapsing all design goals into one fixed utility function.
Selected Publications and Resources
Further Publications from the Original Research Page
- EXIT-chart aided Quantum Turbo Code Design
- The Road From Classical to Quantum Codes: A Hashing Bound Approaching Design Procedure
Additional Publications and Historical Demonstrations
- Fifteen Years of Quantum LDPC Coding and Improved Decoding Strategies
- A Fully-Parallel Quantum Turbo Decoder
- Construction of Quantum LDPC Codes From Classical Row-Circulant QC-LDPCs
- EXIT-chart Aided Quantum Code Design Improves the Normalised Throughput of Realistic Quantum Devices
Quantum-assisted Routing
Quantum methods are considered for combinatorial decisions and route optimisation across communication networks.
Additional Publications and Historical Demonstrations
- Quantum-Assisted Routing Optimization for Self-Organizing Networks
- Non-Dominated Quantum Iterative Routing Optimization for Wireless Multihop Networks
- Quantum-Assisted Joint Multi-Objective Routing and Load Balancing for Socially-Aware Networks
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Quantum-assisted ML Detection
The quantum approximate optimisation algorithm (QAOA) is formulated for maximum-likelihood MIMO detection, first for binary signalling and then for more general Gray-labelled QAM constellations. The source examines mappings from detection objectives to problem Hamiltonians and their circuit-depth trade-offs.
Selected Publications and Resources
Further Publications from the Original Research Page
- Quantum Approximate Optimization Algorithm Based Maximum Likelihood Detection
- General Hamiltonian Representation of ML Detection Relying on the Quantum Approximate Optimization Algorithm
Quantum approximate optimisation workflow
Classical bit and qubit mapping example
Gray mapping and QAOA problem Hamiltonian