Quantum digital signatures without quantum memory.
- V. Dunjko, P. Wallden, E. Andersson
- Computer SciencePhysical Review Letters
- 5 September 2013
This work presents a QDS scheme where no quantum memory is required, which also needs just linear optics, which makes QDSs feasible with current technology.
Machine learning & artificial intelligence in the quantum domain: a review of recent progress
- V. Dunjko, H. Briegel
- Computer ScienceReports on progress in physics. Physical Society
- 8 September 2017
This review describes the main ideas, recent developments and progress in a broad spectrum of research investigating ML and AI in the quantum domain, and broaches the fundamental issue of quantum generalizations of learning and AI concepts.
Composable Security of Delegated Quantum Computation
- V. Dunjko, J. Fitzsimons, C. Portmann, R. Renner
- Computer Science, MathematicsInternational Conference on the Theory and…
- 16 January 2013
This work defines composable security for delegated quantum computation, and distinguishes between protocols which provide only blindness – the computation is hidden from the server – and those that are also verifiable – the client can check that it has received the correct result.
Quantum-enhanced machine learning
- V. Dunjko, Jacob M. Taylor, H. Briegel
- Computer SciencePhysical Review Letters
- 20 September 2016
This work proposes an approach for the systematic treatment of machine learning, from the perspective of quantum information, and shows that quadratic improvements in learning efficiency, and exponential improvements in performance over limited time periods, can be obtained for a broad class of learning problems.
Quantum speedup for active learning agents
- G. Paparo, V. Dunjko, A. Makmal, M. Martin-Delgado, H. Briegel
- Computer Science
- 20 January 2014
It is shown that quantum physics can help and provide a quadratic speedup for active learning as a genuine problem of artificial intelligence and will be particularly relevant for applications involving complex task environments.
Quantum digital signatures with quantum-key-distribution components
- P. Wallden, V. Dunjko, A. Kent, E. Andersson
- Computer Science, Mathematics
- 21 March 2014
This work presents two QDS protocols which have the same experimental requirements as quantum key distribution, which is already commercially available and gives a security proof for the presented QDS schemes against coherent forging attacks.
Experimental demonstration of quantum digital signatures using phase-encoded coherent states of light
- P. J. Clarke, R. Collins, V. Dunjko, E. Andersson, J. Jeffers, G. Buller
- Computer ScienceNature Communications
- 6 November 2012
This work demonstrates an experimental system, which distributes quantum signatures from one sender to two receivers and enables message sending ensured against forging and repudiation, and analyzes the security of the system in some typical scenarios.
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
- Andrea Skolik, Sofiène Jerbi, V. Dunjko
- Computer ScienceQuantum
- 28 March 2021
A training method for parametrized quantum circuits (PQCs) that can be used to solve RL tasks for discrete and continuous state spaces based on the deep Q-learning algorithm and shows when recent separation results between classical and quantum agents for policy gradient RL can be extended to inferring optimal Q-values in restricted families of environments.
Blind quantum computing with weak coherent pulses.
- V. Dunjko, E. Kashefi, Anthony Leverrier
- Computer SciencePhysical Review Letters
- 29 August 2011
The concept of ϵ blindness for UBQC is introduced, in analogy to the concept ofπ security developed for other cryptographic protocols, allowing us to characterize the robustness and security properties of the protocol under possible imperfections.
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