Portrait of Aydin Deger

Aydin Deger

・Research Associate, Theory of Quantum Systems, University of Oxford
・Research Fellow, Wolfson College, Oxford

I am a theoretical physicist working in quantum many-body physics, statistical mechanics and quantum computation. I study how interactions produce collective phenomena — phase transitions, rare fluctuations, constrained dynamics and information scrambling — and how to realise and diagnose them on quantum computers. In parallel, I explore the origins of quantum computational complexity: which resources obstruct classical simulation, and how algorithms and fault-tolerant protocols can exploit the native capabilities of quantum processors.

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Research

1. Criticality and Fluctuations How can the phase structure of a many-body system be inferred from finite data? I develop methods based on Lee–Yang zeros, high-order cumulants and interaction geometry to extract critical points, universal behaviour and rare fluctuations from finite classical and quantum systems.

Selected contributions

  • Lee–Yang theory from fluctuations — I developed what is now known as the cumulant method, which extracts Lee–Yang zeros and critical behaviour from the high-order fluctuations of measurable observables. I established the method in Phys. Rev. E 97, 012115 (2018) (Editor's Suggestion) and extended it to determine universal critical exponents [Phys. Rev. Research 1, 023004 (2019)], rare fluctuations [Phys. Rev. Research 2, 033009 (2020)] and large-deviation statistics of the Ising model [Phys. Rev. B 102, 174418 (2020), Editor's Suggestion].
  • Criticality in dynamics and open systems — I extended the cumulant framework to real-time dynamics, determining dynamical quantum phase transitions in strongly correlated systems [Phys. Rev. X 11, 041018 (2021)], and to driven open systems, locating a nonequilibrium phase transition in a single-electron micromaser [Phys. Rev. B 105, 155421 (2022)].
  • Geometric entanglement — with Tzu-Chieh Wei, I established geometric entanglement as a probe of quantum phase transitions in generalized cluster-XY models [Quantum Inf. Process. 18, 326 (2019)].
  • Emergent interaction geometry — with the Daley group at Oxford, I showed that the geometry of sparse long-range interactions drives phase transitions in cold-atom spin models [arXiv:2512.08709] and governs their low-energy phase structure through a unified effective-geometry principle [arXiv:2606.20387].
Effective geometry of a sparse long-range spin model changing with the interaction parameter
Emergent geometry of sparse long-range interactions, morphing as the coupling exponent varies (arXiv:2512.08709, arXiv:2606.20387).
2. Non-Equilibrium Dynamics, Scrambling and Black Holes What controls whether an interacting system thermalises, localises or scrambles information? I study constrained and driven dynamics, weak ergodicity breaking and curved-space lattice models, connecting nonequilibrium many-body physics with quantum information and black-hole dynamics.

Selected contributions

  • Constrained dynamics and ergodicity breaking — in two companion PRLs I showed that kinetic constraints can arrest many-body chaos [Phys. Rev. Lett. 129, 160601 (2022)] and that deterministic constrained dynamics falls into directed percolation universality [Phys. Rev. Lett. 129, 190601 (2022), Editor's Suggestion].
  • Weak ergodicity breaking and localisation — I identified a weak ergodicity breaking transition in randomly constrained models [Phys. Rev. B 109, L220301 (2024)] and established Stark many-body localisation under periodic driving [Phys. Rev. B 110, 134205 (2024)].
  • Black-hole lattice simulation — I developed a many-body simulator for a three-dimensional black hole built from Dirac fermions, and used it to probe key features of the AdS/CFT correspondence in a lattice model where observables can be defined and measured [Phys. Rev. B 108, 155124 (2023)].
  • Measuring Hawking temperature — with the Schneider group (Cambridge), I designed a Floquet-driven optical-lattice experiment to measure Hawking temperature, turning black-hole physics into a protocol realistic for current cold-atom platforms [arXiv:2312.14058].
Excitation density around an analogue black-hole horizon at early and late times
Excitation dynamics around an analogue event horizon, shown at early and late times in the black-hole simulator. Phys. Rev. B 108, 155124 (2023).
3. Quantum Resources and Classical Simulability What makes a quantum process genuinely hard to simulate classically? I investigate the roles — and limitations — of entanglement, magic and non-Gaussianity, construct efficiently simulable circuits with apparently strong quantum resources, and develop diagnostics that distinguish interaction-generated complexity from hidden free structure.

Selected contributions

  • Persistent non-Gaussian correlations — I uncovered a mechanism by which strong interactions and kinetic constraints generate and protect non-Gaussian correlations in out-of-equilibrium Rydberg atom arrays, and introduced Wick-factorisation diagnostics that quantify this resource directly from experimental data [PRX Quantum 4, 040339 (2023)].
  • Emergent Gaussianity — with collaborators, I showed how Gaussianity emerges in the thermodynamic limit of interacting fermions, clarifying when an interacting system admits an effective free description [Phys. Rev. B 104, L180408 (2021)].
  • Code-compiled tensor networks — I led the development of a simulation method that uses symmetries of quantum error-correcting codes to map circuits with high entanglement, magic and non-Gaussianity into classically tractable tensor networks. This shows that magic alone is no guarantee of quantum advantage. The method also provides a practical benchmark for quantum hardware: a device executes a deep, nontrivial logical circuit while the efficiently simulated MPS supplies the classical reference needed to verify its output. These circuits can therefore test how faithfully NISQ and early fault-tolerant processors perform complex logical operations [arXiv:2607.08396].
Code compilation turns nonlocal interacting logical circuits into single-qubit physical gates plus relabeling
Code compilation: nonlocal, interacting logical circuits become single-qubit physical gates plus wire relabelling — classically simulable despite high entanglement and magic (arXiv:2607.08396).
4. Quantum Computers: Algorithms, Optimisation and Fault Tolerance How should quantum algorithms be designed around the physics of the processor? I develop processor-aware methods for optimisation, simulation and state preparation, together with low-overhead schemes for logical computation. The central question is when native connectivity and analogue control provide a genuine computational advantage.
A graph-coloring problem embedded in a Rydberg-qudit atom array and solved by quantum annealing
Graph colouring with Rydberg qudits: from a graph to an atom-array embedding and quantum-annealed solutions.

Selected contributions

  • Rydberg-qudit optimisation — with collaborators at Durham and Strathclyde, I showed how Rydberg qudits solve graph-colouring problems through quantum optimisation [Quantum Sci. Technol. 11, 025012 (2026)].
  • Discovery mode on quantum processors (in preparation) — We developed an autonomous discovery framework that couples a superconducting quantum processor to a classical learning agent. Guided by quantum processor data, the agent explores circuit space and identifies structured many-body dynamics, including discrete time crystals and dual-unitary circuits (arXiv:2507.01013).
  • Partially fault-tolerant logical computation (in preparation) — We are developing a framework for neutral atoms that replaces costly T-gate decompositions with direct analogue logical rotations on small-distance surface-code resource states and integrates pulse-level optimisation of the Rydberg gate to suppress the dominant undetectable logical error.
  • Long-range connectivity for variational algorithms — with Helene Lösl and Andrew Daley, I identified when structured long-range connectivity is a genuine resource for variational quantum algorithms on reconfigurable neutral-atom and trapped-ion platforms [arXiv:2607.07547].

Publications

20 publications | 11 lead-author

  1. 2026 | A. Deger, S. Koutsioumpas, M. Webster, H. Sayginel, J. Roffe and D. E. Browne, "Efficiently simulable quantum circuits with large entanglement, magic, and non-Gaussianity via code-compiled tensor networks", arXiv:2607.08396
  2. 2026 | H. M. Lösl, A. Deger and A. J. Daley, "Variational Learning with Sparse Long-range Entangling Gates", arXiv:2607.07547
  3. 2026 | A. Gunning, S. Schmid, Z. Liu, S. Kuriyattil, A. Deger and A. J. Daley, "Interaction geometry and ground-state properties of sparse quantum lattice models", arXiv:2606.20387
  4. 2026 | T. Angkhanawin, A. Deger, J. D. Pritchard and C. S. Adams, "Graph coloring via quantum optimization on a Rydberg-qudit atom array", Quantum Sci. Technol. 11, 025012
  5. 2025 | A. Gunning, A. Deger, S. Kuriyattil and A. J. Daley, "Geometry-driven transitions in sparse long-range spin models with cold atoms", arXiv:2512.08709 (Under review in PRL)
  6. 2024 | C. Duffin, A. Deger, A. Lazarides, "Stark Many-Body Localisation Under Periodic Driving", Phys. Rev. B 110, 134205
  7. 2024 | A. Deger, A. Lazarides, "Weak ergodicity breaking transition in randomly constrained model", Phys. Rev. B 109, L220301 (Letter)
  8. 2023 | A. Benhemou, G. Nixon, A. Deger, U. Schneider, and J. Pachos, "Measuring Hawking temperature in an optical lattice simulator", arXiv:2312.14058 (Under review in PRA)
  9. 2023 | A. Deger, A. Daniel, Z. Papic, J. Pachos "Persistent non-Gaussian correlations in out-of-equilibrium Rydberg atom arrays", PRX Quantum 4, 040339
  10. 2023 | A. Deger, M. Horner, J. Pachos "AdS/CFT Correspondence with a 3D Black Hole Simulator", Phys. Rev. B 108, 155124
  11. 2022 | A. Deger, A. Lazarides, S. Roy, "Constrained Dynamics and Directed Percolation", Phys. Rev. Lett. 129, 190601 – (Editor’s Suggestion)
  12. 2022 | A. Deger, S. Roy, A. Lazarides, "Arresting classical many-body chaos by kinetic constraints", Phys. Rev. Lett. 129, 160601
  13. 2022 | F. Brange, A. Deger and C. Flindt, "Nonequilibrium phase transition in a single-electron micromaser", Phys. Rev. B 105, 155421
  14. 2021 | G. Matos, A. Hallam, A. Deger, Z. Papic, J. K. Pachos, "Emergence of gaussianity in the thermodynamic limit of interacting fermions", Phys. Rev. B 104, L180408
  15. 2021 | S. Peotta, F. Brange, A. Deger, T. Ojanen, C. Flindt., "Determination of dynamical quantum phase transitions in strongly correlated many-body systems using Loschmidt cumulants", Phys. Rev. X 11, 041018
  16. 2020 | A. Deger, F. Brange and C. Flindt, "Lee-Yang zeros, high cumulants, and large-deviation statistics of the Ising model", Phys. Rev. B 102, 174418 – (Editor’s Suggestion)
  17. 2020 | A. Deger and C. Flindt, "Lee-Yang theory of the Curie-Weiss model and its rare fluctuations", Phys. Rev. Research 2, 033009
  18. 2019 | A. Deger and C. Flindt, "Determination of Universal Critical Exponents Using Lee-Yang Theory", Phys. Rev. Research 1, 023004
  19. 2019 | A. Deger and T-C. Wei, "Geometric entanglement and quantum phase transition in generalized cluster-XY models", Quantum Inf. Process. 18, 326
  20. 2018 | A. Deger, K. Brandner and C. Flindt, "Lee-Yang Zeros and large-deviation statistics of a molecular zipper", Phys. Rev. E 97, 012115 – (Editor’s Suggestion)

Software

BlueTangle.jl

A noisy, dynamic quantum-circuit simulator in Julia for NISQ-era research. Highlights include:

  • Mid-circuit measurements for measurement-induced phenomena (e.g. entanglement phase transitions, quantum error correction).
  • Configurable noise channels via Kraus operators.
  • Error mitigation utilities: Pauli twirling, zero-noise extrapolation, and measurement-error mitigation.
  • Multiple state representations: state vector, density matrix, and MPS (via ITensor) under the same high-level API.
  • Trotterized Hamiltonians built from concise operator-string inputs.
  • Variational Quantum Eigensolver (VQE) with easy setup.
  • Stabilizer codes support for quantum error correction.
  • Quantum-information toolkit (entanglement, partial traces, gaussianity, phase estimation, classical shadows, high-order moments).

GitHub repository · Documentation

PhasePoly.jl

A fast, exact simulator for monomial quantum circuits, based on the phase-polynomial / Gauss-sum method. Highlights include:

  • Efficient Pauli expectation values: for circuits with diagonal phase gates up to level 3 (Z, S, T, CZ, CS, CCZ), Pauli expectations reduce to quadratic Gauss sums evaluated in O(n³) time, without explicit statevector evolution.
  • Level-4 gates (√T, CT, CCS, CCCZ) handled exactly by branching only over surviving √T terms.
  • Flexible inputs: essentially any stabilizer/phase input — computational and Pauli basis states, magic states, and entangled inputs such as graph states.
  • Exact, compact representation of the unitary as an affine map over GF(2) plus a phase polynomial; matches dense statevector simulation to machine precision.

GitHub repository