1
program role
19
collaborators
2015–2026
years active
Contributions
QIP QCrypt TQC talk poster presenter award · △program ◇steering ○organizing · filled = chair
13 Talks
| Title | Conference | Type | Co-authors |
|---|---|---|---|
| Non-iid hypothesis testing: from classical to quantum | QIP 2026 | regular | Giacomo De Palma, ▸Marco Fanizza, Connor Mowry |
We study hypothesis testing (aka state certification) in the \emph{non-identically distributed} setting. A recent work (Garg et~al.~2023) considered the classical case, in which one is given (independent) samples from $T$ unknown probability distributions $p_1, \dots, p_T$ on $[d] = \{1, 2, \dots, d\}$, and one wishes to accept/reject the hypothesis that their average $p_{\textnormal{avg}}$ equals a known hypothesis distribution~$q$. Garg et al.~showed that if one has just $c = 2$ samples from each $p_i$, and provided $T \gg \frac{\sqrt{d}}{\eps^2} + \frac{1}{\eps^4}$, one can (whp) distinguish $p_{\textnormal{avg}} = q$ from $\dtv{p_{\textnormal{avg}}}{q} > \eps$. This nearly matches the optimal result for the classical iid setting (namely, $T \gg \frac{\sqrt{d}}{\eps^2}$). Besides optimally improving this result (and generalizing to tolerant testing with more stringent distance measures), we study the analogous problem of hypothesis testing for non-identical \emph{quantum} states. Here we uncover an unexpected phenomenon: for any $d$-dimensional hypothesis state~$\sigma$, and given just a \emph{single} copy ($c = 1$) of each state $\rho_1, \dots, \rho_T$, one can distinguish $\rho_{\textnormal{avg}} = \sigma$ from $\Dtr{\rho_{\textnormal{avg}}}{\sigma} > \eps$ provided $T \gg d/\eps^2$. (Again, we generalize to tolerant testing with more stringent distance measures.) This matches the optimal result for the iid case, which is surprising because doing this with $c = 1$ is provably impossible in the classical case. A technical tool we introduce may be of independent interest: an Efron--Stein inequality, and more generally an Efron--Stein decomposition, in the quantum setting. |
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Few Single-Qubit Measurements Suffice to Certify Any Quantum State ↗
Best Student Paper
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QIP 2026 | plenary_short | Meghal Gupta, ▸William He |
A fundamental task in quantum information science is \emph{state certification}: testing whether a lab-prepared $n$-qubit state is close to a given hypothesis state. In this work, we show that \emph{every} pure hypothesis state can be certified using only $O(n^2)$ single-qubit measurements applied to $O(n)$ copies of the lab state. Prior to our work, it was not known whether even subexponentially many single-qubit measurements could suffice to certify arbitrary states. This resolves the main open question of Huang, Preskill, and Soleimanifar (FOCS 2024, QIP 2024). Our algorithm also showcases the power of \emph{adaptive measurements}: within each copy of the lab state, previous measurement outcomes dictate how subsequent qubit measurements are made. We show that the adaptivity is necessary, by proving an exponential lower bound on the number of copies needed for any nonadaptive single-qubit measurement algorithm. |
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| Instance-Optimal Quantum State Certification with Entangled Measurements | TQC 2026 | regular | ▸Chirag Wadhwa |
We consider the task of quantum state certification: given a description of a hypothesis state~$\sigma$ and multiple copies of an unknown state~$\rho$, a tester aims to determine whether the two states are equal or $\epsilon$-far in trace distance. It is known that~$\Theta(d/\epsilon^2)$ copies of~$\rho$ are necessary and sufficient for this task, assuming the tester can make entangled measurements over all copies [CHW07, OW15, BOW19]. However, these bounds are for a worst-case~$\sigma$, and it is not known what the optimal copy complexity is for this problem on an \emph{instance-by-instance} basis. While such instance-optimal bounds have previously been shown for quantum state certification when the tester is limited to measurements unentangled across copies [CLO22, CLHL22], they remained open when testers are unrestricted in the kind of measurements they can perform. We address this open question by proving nearly instance-optimal bounds for quantum state certification when the tester can perform fully entangled measurements. Analogously to the unentangled setting, we show that the optimal copy complexity for certifying~$\sigma$ is given by the worst-case complexity times the fidelity between~$\sigma$ and the maximally mixed state. We prove our lower bounds using a novel quantum analogue of the Ingster--Suslina method, which is likely to be of independent interest. This method also allows us to recover the~$\Omega(d/\epsilon^2)$ lower bound for mixedness testing [OW15], i.e., certification of the maximally mixed state, with a surprisingly simple proof. |
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| Uniformity Testing When You Have the Source Code | TQC 2025 | regular | Clément L. Canonne, Robin Kothari |
| Quantum chi-squared tomography and mutual information testing | QIP 2024 | regular | ▸Steven Flammia |
| Query-optimal estimation of unitary channels in diamond distance | QIP 2024 | regular | ▸Jeongwan Haah, Robin Kothari, Ewin Tang |
| Mean estimation when you have the source code; or, quantum Monte Carlo methods | QIP 2023 | regular | ▸Robin Kothari |
| Toward Instance-Optimal Quantum State Certification With Incoherent Measurements | QIP 2022 | regular | ▸Sitan Chen, Jerry Li |
| Optimizing Strongly Interacting Fermionic Hamiltonians | QIP 2022 | regular | ▸Matthew B. Hastings |
| Pauli Error Estimation via Population Recovery | TQC 2021 | regular | Steven Flammia |
| Quantum state certification | QIP 2018 | regular | ▸Costin Bădescu, John Wright |
| Efficient quantum tomography and Jeongwan Haah, Aram Harrow, Zhengfeng Ji, Xiaodi Wu and Nengkun Yu. Sampleoptimal tomography of quantum states | QIP 2016 | regular ▸ presenter | John Wright |
| Quantum Spectrum Testing | QIP 2015 | regular | John Wright |
2 Posters
| Title | Conference | Co-authors |
|---|---|---|
| Explicit orthogonal and unitary designs | QIP 2024 | Rocco Servedio, Pedro Paredes |
| Quantum Approximate Counting with Nonadaptive Grover Iterations | QIP 2021 | Ramgopal Venkateswaran |
Committee service
| Conference | Committee | Position | Title |
|---|---|---|---|
| QIP 2026 | program | member | — |
Collaborators
| Co-author | Joint talks |
|---|---|
| John Wright | 3 |
| Robin Kothari | 3 |
| Steven Flammia | 2 |
| Chirag Wadhwa | 1 |
| Clément L. Canonne | 1 |
| Connor Mowry | 1 |
| Costin Bădescu | 1 |
| Ewin Tang | 1 |
| Giacomo De Palma | 1 |
| Jeongwan Haah | 1 |
| Jerry Li | 1 |
| Marco Fanizza | 1 |
| Matthew B. Hastings | 1 |
| Meghal Gupta | 1 |
| Pedro Paredes | 1 |
| Ramgopal Venkateswaran | 1 |
| Rocco Servedio | 1 |
| Sitan Chen | 1 |
| William He | 1 |