← Jacob Biamonte

Biography & Media Kit

Jacob
Biamonte

Pronounced bee-ah-MON-tay

Professor

Chairholder, MEIE Principal Research Chair in Quantum Computing

Jacob Biamonte studies computational models between efficient classical simulation and universal quantum computation. He examines how interactions, rules of composition, and the statistical structure of problem-instance families determine what these models can compute.

The research frame

What Minimal Structure Enables Quantum Computation?

The research program studies computational models between efficient classical simulation and universal quantum computation. It asks how interactions, rules of composition, and the statistical structure of problem-instance families determine what these models can compute. The diagram below groups selected publications by physical model, programming language, and emergent properties.

Conceptual research diagram locating six selected results between classical and quantum regimes
Conceptual diagram of the program. Six selected topics are placed in relation to classical simulation and universal quantum computation and grouped by physical model, programming language, and emergent properties.Download the high-resolution diagram for media use · Credit: Aggie Branczyk / Quantum Salon.

Physical model

Which interactions and ground states can encode logic or universal computation?

Programming language

Which compositional rules turn physical structure into a language for calculation?

Emergent properties

What average-case behavior and large-system structure become visible?

Research record

Selected concepts and results

Selected concepts and frameworks

Concepts and frameworks reported in Biamonte’s single- and coauthored publications include ground-state spin logic; categorical tensor-network states, including a construction for representing arbitrary n-qubit states using specified tensor building blocks and a demonstration that AND, COPY, and |−⟩ tensors can realize a computationally universal gate set; continuous-time chiral quantum walks obtained by breaking time-reversal symmetry; spectral-entropy measures for comparing complex networks; reachability deficits in QAOA; and training saturation in layerwise QAOA.

Selected results

The cited publications establish QMA-completeness for two restricted families of 2-local Hamiltonians containing one-local X/Z terms and two-local XX/ZZ or ZX/XZ couplings; perturbative-gadget constructions used to establish restricted XX/ZZ and ZX/XZ models and to simulate effective YY couplings using XX/ZZ-type interactions (Biamonte–Love 2008; Cao et al. 2015); gate-complexity and resource analyses for quantum simulation of electronic-structure Hamiltonians; tensor-network representations of polynomial local-unitary invariants, with matrix-product states as a principal example; polynomial-time contraction for counting problems whose tensor-network expressions contain O(log n) COPY tensors with polynomially bounded fan-out; a graphical calculus relating the Liouville, Choi, process-matrix, Kraus, and system–environment representations of completely positive maps; precise universality conditions for a class of one-dimensional QAOA constructions, with extensions to specified graph and hypergraph cost Hamiltonians; and two objective-function constructions establishing the computational universality of variational quantum computation.

Biamonte also coauthored experimental studies of photonic quantum chemistry in 2010, chiral quantum walks in 2016, and quantum adversarial learning with superconducting qubits in 2022. His publications also include work on quantum complex networks through research on spectral-entropy measures and the synthesis article Complex Networks from Classical to Quantum, and on quantum machine learning through the 2017 review and the 2022 adversarial-learning study.

Biographies

One sentence

Jacob Biamonte studies computational models between efficient classical simulation and universal quantum computation.

Short biography

Jacob Biamonte is Professor and Chairholder of the MEIE Principal Research Chair in Quantum Computing. He studies computational models between efficient classical simulation and universal quantum computation. Concepts and frameworks associated with his work include ground-state spin logic, categorical tensor-network states, continuous-time chiral quantum walks, spectral-entropy measures for comparing complex networks, reachability deficits in QAOA, and training saturation in layerwise QAOA.

Full biography

Jacob Biamonte’s research asks what minimal structure enables quantum computation. He is Professor and Chairholder of the MEIE Principal Research Chair in Quantum Computing.

He studies computational models between efficient classical simulation and universal quantum computation. He examines how interactions, rules of composition, and the statistical structure of problem-instance families determine what these models can compute.

Concepts and frameworks associated with his work include ground-state spin logic, categorical tensor-network states, continuous-time chiral quantum walks, spectral-entropy measures for comparing complex networks, reachability deficits in QAOA, and training saturation in layerwise QAOA. His publications also include work on quantum complex networks and quantum machine learning, including research papers and synthesis articles. He also coauthored experimental studies of photonic quantum chemistry, chiral quantum walks, and quantum adversarial learning.

Biamonte earned a PhD in Computer Science from the University of Oxford and a Doctor of Science in Mathematical Physics from the Moscow Institute of Physics and Technology. He is a Fellow of the Institute of Physics and a recipient of the USERN Medal in Formal Sciences.

In his words

A question in quantum machine learning

“There should be these wonderful patterns that classical computers cannot detect … That’s the exciting future that doesn’t exist yet.”

At a glance

Positions, education, and selected distinctions

Current roles

  1. Professor
  2. Chairholder, MEIE Principal Research Chair in Quantum Computing

Education and early career

  1. PhD in Computer Science, University of Oxford
  2. Doctor of Science in Mathematical Physics, Moscow Institute of Physics and Technology
  3. Quantum Applications Scientist and Research Associate, D-Wave Systems, 2004–2007

Selected distinctions

  1. Fellow, Institute of Physics, 2023
  2. USERN Medal in Formal Sciences, 2018

Photography

Downloadable media photographs

These high-resolution photographs may be used for editorial and institutional coverage of Jacob Biamonte. Credit for all photographs: Vincent Lemelin. Select an image to download the original file.

Jacob Biamonte standing in front of a blackboard
Credit: Vincent Lemelin · JPG · 1000 × 745
Jacob Biamonte speaking beside a blackboard
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Jacob Biamonte holding markers beside a blackboard
Credit: Vincent Lemelin · JPG · 1000 × 737
Jacob Biamonte standing in an ÉTS corridor
Credit: Vincent Lemelin · JPG · 1000 × 750
Jacob Biamonte standing on an ÉTS staircase
Credit: Vincent Lemelin · JPG · 1000 × 750
Jacob Biamonte at a long table inside ÉTS Montréal
Credit: Vincent Lemelin · JPEG · 1000 × 739

Media contact

Valérie Dubuc

Communications Advisor
École de technologie supérieure (ÉTS)
Université du Québec
Montréal, Québec, Canada

communications@etsmtl.ca
etsmtl.ca