Roberto Bondesan
Associate Professor in Quantum Computing
Works on quantum algorithms, quantum error correction and quantum machine learning, drawing on a background in theoretical physics.
Roberto Bondesan's lab at Imperial works on learning theory & optimization. 6 papers since 2023, 2 at top venues, mostly AISTATS and ICLR. 2 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 33%
- PhD students
- 2
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 3 papers2024 · T1 0
- 3 papers2023 · T1 2
T1 venuesOtherVenues: AISTATS, ICLR
Research focuspaper titles that use each topic's words
- quantum4 papers
- Learning theory & optimization2 papers
- quantum algorithms0 papers
- drawing0 papers
- theoretical0 papers
Paper list
From the lab homepage.
20243 papers
- —Accurate Learning of Equivariant Quantum Systems from a Single Ground State
- —Efficient Learning of Long-Range and Equivariant Quantum Systems
- —Quantum Approximate Optimisation for Not-All-Equal SAT
20233 papers
- AISTATS (T1)Neural Simulated Annealing
- ICLR (T1)Robust Scheduling with GFlowNets
- ICLR WorkshopThe END: An Equivariant Neural Decoder for Quantum Error Correction
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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