9
program roles
3
steering roles
1
leadership role
56
collaborators
2006–2026
years active
Contributions
QIP QCrypt TQC talk poster presenter award · △program ◇steering ○organizing · filled = chair
26 Talks
| Title | Conference | Type | Co-authors |
|---|---|---|---|
| Quantum speedups in solving near-symmetric optimization problems by low-depth QAOA | QIP 2025 | regular | ▸Leo Zhou |
| Testing quantum satisfiability | QIP 2024 | regular ▸ presenter | Changpeng Shao, Dominic Verdon |
| Phasecraft - The Quantum Algorithms Company | QIP 2024 | invited ▸ presenter | Toby Cubitt |
| Quantum query complexity of functions of matrices | QIP 2024 | regular ▸ presenter | Changpeng Shao |
| Quantum speedups for solving linear regression problems | QIP 2023 | regular | ▸Changpeng Shao |
| Solving boolean satisfiability problems with the quantum approximate optimization algorithm | QIP 2023 | regular | ▸Sami Boulebnane |
| Towards near-term quantum simulation of materials | TQC 2023 | regular | Laura Clinton, Toby Cubitt, Brian Flynn, Filippo Maria Gambetta, ▸Joel Klassen, Stephen Piddock, Raul A. Santos, Evan Sheridan |
The limiting constraint on simulating materials on near-term quantum hardware is the requisite circuit depths and qubit numbers, with current estimates placing them well beyond near-term capabilities. A critical subroutine of simulation algorithms is implementing a layer of unitary evolutions by each local term in the Hamiltonian. In this work we develop a new quantum algorithm which dramatically reduces the estimated cost of material simulations using this subroutine, improving circuit depths by up to 6 orders of magnitude for Strontium Vanadate, for example. We achieve this by introducing a fermionic encoding that leverages the locality of materials Hamiltonians describing an active space in the Wannier basis. This design generates quantum circuits whose depth is independent of the system’s size. |
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| Quantum algorithms for learning graphs | QIP 2021 | regular | Changpeng Shao |
We study the problem of learning an unknown graph provided via an oracle using a quantum algorithm. We consider three query models. In the first model (``OR queries''), the oracle returns whether a given subset of the vertices contains any edges. In the second (``parity queries''), the oracle returns the parity of the number of edges in a subset. In the third model, we are given copies of the graph state corresponding to the graph. We give quantum algorithms that achieve speedups over the best possible classical algorithms in the OR and parity query models, for some families of graphs, and give quantum algorithms in the graph state model whose complexity is similar to the parity query model. For some parameter regimes, the speedups can be exponential in the parity query model. On the other hand, without any promise on the graph, no speedup is possible in the OR query model. A main technique we use is the quantum algorithm for solving the combinatorial group testing problem, for which a query-efficient quantum algorithm was given by Belovs. Here we additionally give a time-efficient quantum algorithm for this problem, based on the algorithm of Ambainis et al.\ for a ``gapped" version of the group testing problem. We also give simple time-efficient quantum algorithms based on Fourier sampling and amplitude amplification for learning the exact-half and majority functions, which almost match the optimal complexity of Belovs' algorithms. |
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| Quantum majority and other Boolean functions with quantum inputs | QIP 2021 | regular | Harry Buhrman, Noah Linden, Laura Mančinska, Maris Ozols |
Abstract Majority vote is a basic method for amplifying correct outcomes that is widely used in computer science and beyond. It can, for example, be used to amplify the correctness of a quantum device whose output is classical. However, when the output of a device is a quantum state, it is not apriori clear how to implement an analogous \emph{quantum} majority vote. To this end, we consider an extension of majority vote to quantum inputs and outputs: given a product state of the form $\ket{\phi_1, \phi_2, \dotsc ,\phi_n}$ where each qubit $\ket{\phi_i}$ is in one of two orthogonal states $\ket{\psi_0}$ or $\ket{\psi_1}$, output the majority state $\ket{\psi_0}$ or $\ket{\psi_1}$. We provide an optimal algorithm for this problem that achieves worst-case fidelity of $1/2 + \Theta(1/\sqrt{n})$. Under the promise that at least $2/3$ of the qubits are in the majority state, the fidelity increases to $1 - \Theta(1/n)$ and approaches one in the limit. More generally, we initiate the study of covariant and symmetric Boolean functions $f: \set{0,1^n} \to \set{0,1}$ with quantum inputs and outputs. We provide a simple linear program of size roughly $n/2$ for computing the optimal worst-case fidelity and show that a generalization of our algorithm is optimal for computing $f$. Our algorithm has complexity $O(n^4 \log n)$ where $n$ is the number of qubits. |
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| Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance | TQC 2021 | regular | Dong An, Noah Linden, ▸Jin-Peng Liu, Changpeng Shao, Jiasu Wang |
| Faster quantum-inspired algorithms for solving linear systems | TQC 2021 | regular | ▸Changpeng Shao |
| Exponential quantum communication reductions from generalizations of the Boolean Hidden Matching problem | TQC 2020 | regular | ▸João Fernando Doriguello |
In this work we revisit the Boolean Hidden Matching communication problem, which was the first communication problem in the one-way model to demonstrate an exponential classical-quantum communication separation. In this problem, Alice’s bits are matched into pairs according to a partition that Bob holds. These pairs are compressed using a Parity function and it is promised that the final bit-string is equal either to another bit-string Bob holds, or its complement. The problem is to decide which case is the correct one. Here we generalize the Boolean Hidden Matching problem by replacing the parity function with an arbitrary function $f$. Efficient communication protocols are presented depending on the sign-degree of $f$. If its sign-degree is less than or equal to 1, we show an efficient classical protocol. If its sign-degree is less than or equal to $2$, we show an efficient quantum protocol. We then completely characterize the classical hardness of all symmetric functions $f$ of sign-degree greater than or equal to $2$, except for one family of specific cases. We also prove, via Fourier analysis, a classical lower bound for any function $f$ whose pure high degree is greater than or equal to $2$. Similarly, we prove, also via Fourier analysis, a quantum lower bound for any function $f$ whose pure high degree is greater than or equal to $3$. These results give a large family of new exponential classical-quantum communication separations. |
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| Ashley Montanaro (Bristol) | TQC 2019 | invited ▸ presenter | — |
| Classical boson sampling algorithms and the outlook for experimental boson sampling | QIP 2018 | plenary | ▸Alex Neville, Chris Sparrow, Raphael Clifford, Eric Johnston, Patrick Birchall, Anthony Laing, Peter Clifford |
| Universal Qudit Hamiltonians | TQC 2018 | regular | Stephen Piddock |
| Universal quantum Hamiltonians | QIP 2017 | regular | Toby Cubitt, ▸Stephen Piddock |
| Sequential measurements, disturbance and property testing | QIP 2017 | regular | ▸Aram Harrow, Cedric Yen-Yu Lin |
| Average-case complexity versus approximate simulation of commuting quantum computations | QIP 2016 | regular | ▸Michael Bremner, Daniel Shepherd |
| Quantum walk speedup of backtracking algorithms | QIP 2016 | regular ▸ presenter | — |
| Quantum pattern matching fast on average | QIP 2015 | regular | — |
| Classification of the complexity of local Hamiltonian problems | QIP 2014 | regular ▸ presenter | Toby Cubitt |
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“Weak multiplicativity for random quantum channels.” ↗
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QIP 2013 | invited | — |
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An efficient test for product states, with applications to quantum Merlin-Arthur games ↗
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QIP 2011 | plenary | — |
| Quantum Search with Advice | TQC 2010 | regular | — |
| Quantum boolean functions | QIP 2009 | regular ▸ presenter | Tobias J. Osborne |
| Counterexamples to additivity of minimum output p-Renyi entropy for p close to 0 | QIP 2008 | regular | ▸Toby Cubitt, Aram Harrow, Debbie Leung, Andreas Winter |
26 Posters
| Title | Conference | Co-authors |
|---|---|---|
| Quantum-Enhanced Optimization by Warm Starts | QIP 2026 | ▸Ieva Cepaite, Niam Vaishnav, Leo Zhou |
| Using graph partitioning methods to decompose optimization problems for quantum-enhanced optimization | QIP 2026 | ▸Josh Blake |
| Parameter Dependent Error Resilience in the Quantum Approximate Optimisation Algorithm | QIP 2026 | ▸Jorja Kirk |
| Quantum Phase Estimation without Controlled Unitaries | QIP 2025 | Raul Garcia-Patron Sanchez, Laura Clinton, Toby Cubitt, Maarten Stroeks |
| Efficient and practical Hamiltonian simulation from time-dependent product formulas | TQC 2024 | Raul A. Santos, Jan Lukas Bosse, Filippo Maria Gambetta, Andrew Childs, Charles Derby |
| Optimising VQE via Bayesian updates of local surrogate models | QIP 2023 | Jan Lukas Bosse |
| Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer | QIP 2023 | Jan Lukas Bosse, Stasja Stanisic, Filippo Maria Gambetta, Raul A. Santos, Wojciech Mruczkiewicz, Thomas O'Brien, Eric Ostby |
| Towards near-term quantum simulation of materials | QIP 2023 | Laura Clinton, Toby Cubitt, Brian Flynn, Filippo Maria Gambetta, Joel Klassen, Stephen Piddock, Raul A. Santos, Evan Sheridan |
| Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance | QIP 2021 | Dong An, Noah Linden, Jin-Peng Liu, Changpeng Shao, Jiasu Wang |
| Exponential quantum communication reductions from generalizations of the Boolean Hidden Matching problem | QIP 2020 | João Fernando Doriguello |
| Applying quantum algorithms to constraint satisfaction problems | QIP 2019 | Earl Campbell, Ankur Khurana |
| Quantum sketching protocols for Hamming distance and beyond | QIP 2019 | João Fernando Doriguello |
| The Quantum Complexity of Computing Schatten p-norms | QIP 2018 | Christopher Cade |
| Universal qudit Hamiltonians | QIP 2018 | Stephen Piddock |
| Optimal verification of entangled states with local measurements | QIP 2018 | Sam Pallister, Noah Linden |
| Achieving quantum supremacy with sparse and noisy commuting quantum computations | QIP 2017 | Michael Bremner, Daniel Shepherd |
| Time and Space Efficient Quantum Algorithms for Detecting Cycles and Testing Bipartiteness | QIP 2017 | Christopher Cade, Aleksandrs Belovs |
| Generating entanglement with linear optics | TQC 2017 | Stasja Stanisic, Noah Linden, Peter Turner |
| The complexity of antiferromagnetic interactions and 2D lattices | QIP 2016 | Stephen Piddock |
Estimation of the minimum eigenvalue of a quantum Hamiltonian can be formalised as the Local Hamiltonian problem. We study the natural special case of the Local Hamiltonian problem where the same 2-local interaction, with differing weights, is applied across each pair of qubits. First we consider antiferromagnetic/ferromagnetic interactions, where the weights of the terms in the Hamiltonian are restricted to all be of the same sign. We show that for symmetric 2-local interactions with no 1-local part, the problem is either QMA-complete or in StoqMA. In particular the antiferromagnetic Heisenberg and antiferromagnetic XY interactions are shown to be QMA-complete. We also prove StoqMA-completeness of the antiferromagnetic transverse field Ising model. Second, we study the Local Hamiltonian problem under the restriction that the interaction terms can only be chosen to lie on a particular graph. We prove that nearly all of the QMA-complete 2-local interactions remain QMA-complete when restricted to a 2D square lattice. Finally we consider both restrictions at the same time and discover that, with the exception of the antiferromagnetic Heisenberg interaction, all of the interactions which are QMA-complete with positive coefficients remain QMA-complete when restricted to a 2D triangular lattice. |
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| Time and Space Efficient Quantum Algorithms for Detecting Cycles and Testing Bipartiteness | TQC 2016 | Christopher Cade, Aleksandrs Belovs |
| Complexity of local qudit Hamiltonians | TQC 2016 | Stephen Piddock |
| The quantum query complexity of combinatorial group testing | QIP 2013 | Andris Ambainis |
| Exact quantum query algorithms for small boolean functions | QIP 2012 | Richard Jozsa, Graeme Mitchison |
| Quantum search with advice | QIP 2010 | — |
| Quantum search of partially ordered sets | QIP 2008 | — |
| Quantum walks on directed graphs | QIP 2006 | — |
Committee service
| Conference | Committee | Position | Title |
|---|---|---|---|
| QIP 2024 | program | member | — |
| TQC 2023 | program | member | — |
| QIP 2022 | program | member | — |
| QIP 2021 | program | co_chair | — |
| TQC 2020 | program | member | — |
| QIP 2019 | steering | member | — |
| QIP 2018 | steering | member | — |
| TQC 2018 | program | member | — |
| QIP 2017 | steering | member | — |
| QIP 2015 | program | member | — |
| TQC 2014 | program | member | — |
| TQC 2013 | program | member | — |
Collaborators
| Co-author | Joint talks |
|---|---|
| Changpeng Shao | 7 |
| Stephen Piddock | 7 |
| Toby Cubitt | 7 |
| Noah Linden | 5 |
| Filippo Maria Gambetta | 4 |
| Raul A. Santos | 4 |
| Christopher Cade | 3 |
| Jan Lukas Bosse | 3 |
| João Fernando Doriguello | 3 |
| Laura Clinton | 3 |
| Aleksandrs Belovs | 2 |
| Aram Harrow | 2 |
| Brian Flynn | 2 |
| Daniel Shepherd | 2 |
| Dong An | 2 |
| Evan Sheridan | 2 |
| Jiasu Wang | 2 |
| Jin-Peng Liu | 2 |
| Joel Klassen | 2 |
| Leo Zhou | 2 |