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Sergii Strelchuk

Personal photo - Sergii Strelchuk

Professor Sergii Strelchuk

Associate Professor of Computer Science

Themes:

Interests

My research interests include quantum algorithms and their applications (particularly in bioinformatics) as well as classical simulation methods for quantum computation, quantum complexity theory, and quantum learning theory.

A representative snapshot of my current research interests is outlined here. for updates.

I lead the following projects

Selected Publicity

Sergii Strelchuk to lead final phase of Wellcome Leap-funded quantum pangenomics project

Sanger Institute collaboration using quantum computing to tackle complex genomic challenges

Quantum Pangenomics

Quanta Magazine: The Quest to Quantify Quantumness

Researchers aim to use quantum computing to assemble and analyse pangenomes

Developing Hybrid Fermion-to-Qubit Mappings for Efficient Quantum Computing Simulations

Unveiling Mysteries of the Quantum World

Quantum 1, classical 0: Bell nonlocality universally confirmed in any large communication complexity advantage

Mathematical breakthrough sets out rules for more effective teleportation

List of recent results (since 07/2024):

You can find all of my papers and preprints here.

Biography

  • 2024-           Associate Professor, Department of Computer Science, University of Oxford
  • 2020-2024: Royal Society University Research Fellow, DAMTP, University of Cambridge
  • 2017-2019: Leverhulme Early Career Fellow, DAMTP, University of Cambridge
  • 2013-2017: John and Delia Agar Research Fellow, Sidney Sussex College, University of Cambridge
  • 2009-2013: PhD, DAMTP and Trinity College, University Cambridge

Hiring and Research Opportunities

Together with Dr. Sathya Subramanian we have several opportunities for researchers interested in quantum computation, with a focus on computational complexity theory, classical simulation, and the development and application of novel quantum algorithms.

Our work addresses fundamental challenges at the frontiers of quantum computing and its applications (in particular -- bioinformatics). Broadly, we are interested in developing sophisticated algorithm design and analysis tools to realise the potential of quantum computers, while generating a deeper understanding of the theoretical limits of quantum computation.

  • Classical simulation of quantum systems and the limits of efficient computation.
  • Quantum complexity theory and quantum learning theory.
  • Quantum algorithms and their applications, including emerging directions in bioinformatics and pangenomics.

Our research centres on the mathematical theory and techniques that underpin computation and the physical principles of information. We welcome inquiries from outstanding students and postdoctoral researchers with a strong interest in the intersection of algorithms, physics, and mathematics. Candidates with backgrounds in mathematics, theoretical computer science, theoretical physics, or related disciplines are particularly well suited. For more details, see:

We encourage candidates to contact us over email. Please include: (1) Your CV; and (2) a 1–2 paragraph cover letter describing relevant past research (if any), your future interests, and why you would like to work with us. As we receive a high volume of inquiries, we may take at least a week to reply.

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