Natalia Ares
Associate Professor
Develops machine learning algorithms that tune and control quantum devices in real time, and studies quantum thermodynamics.
Natalia Ares's lab at Oxford works in AI for Science. 27 papers since 2023, 7 at top venues, mostly Nature Communications and Nature. 9 PhD students. 8 alumni, most often to CEO/Co-Founder at Conductor Quantum and Intel. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 26%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 2 · collecting
- 8 papers2025 · T1 3
- 9 papers2024 · T1 2
- 3 papers2023 · T1 0
T1 venuesOtherVenues: Nature Communications, Nature, AISTATS, TMLR
Research focuspaper titles that use each topic's words
- quantum17 papers
- devices4 papers
- real0 papers
- time0 papers
- learning algorithms0 papers
Paper list
From the lab homepage.
20267 papers
- Nature ElectronicsFully autonomous tuning of a spin qubit (opens in a new tab)
- Nature (T1)How silicon-chip technology is being re-engineered for quantum computing. (opens in a new tab)
- Physical Review ResearchMetalearning characteristics and dynamics of quantum systems (opens in a new tab)
- TMLR (T1)MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
- Physical Review ResearchQuantum feedback control with a transformer neural network architecture (opens in a new tab)
- Quantum Science and TechnologyRoadmap on quantum thermodynamics (opens in a new tab)
- Physical Review ResearchSources of nonlinearity of a driven carbon nanotube electromechanical resonator (opens in a new tab)
20258 papers
- Physical Review AppliedAll-rf-based coarse-tuning algorithm for quantum devices using machine learning (opens in a new tab)
- Nature Communications (T1)Artificial intelligence for quantum computing (opens in a new tab)
- Nature Communications (T1)Compromise-free scaling of qubit speed and coherence (opens in a new tab)
- Nature Communications (T1)Coupling a single spin to the motion of a carbon nanotube (opens in a new tab)
- Physical Review LettersEntropic Costs of Extracting Classical Ticks from a Quantum Clock (opens in a new tab)
- Physical Review AExtra cost of erasure due to quantum lifetime broadening (opens in a new tab)
- —QuantGraph: A Receding-Horizon Quantum Graph Solver
- Physical Review ResearchRapid optimal work extraction from a quantum-dot information engine (opens in a new tab)
20249 papers
- Physical Review AppliedAutomated long-range compensation of an rf quantum dot sensor (opens in a new tab)
- Physical Review XBridging the Reality Gap in Quantum Devices with Physics-Aware Machine Learning (opens in a new tab)
- Scientific ReportsCross-architecture tuning of silicon and SiGe-based quantum devices using machine learning (opens in a new tab)
- Physical Review ResearchDifferentiable master equation solver for quantum device characterization (opens in a new tab)
- Nature (T1)High-fidelity spin qubit operation and algorithmic initialization above 1 K (opens in a new tab)
- —Information Flows in Nanomachines (opens in a new tab)
- AISTATS (T1)Looping in the human: collaborative and explainable Bayesian optimization
- SciPost Physics CodebasesQArray: A GPU-accelerated constant capacitance model simulator for large quantum dot arrays (opens in a new tab)
- Physical Review ResearchStability of long-sustained oscillations induced by electron tunneling (opens in a new tab)
20233 papers
- QuantumIdentifying Pauli spin blockade using deep learning (opens in a new tab)
- Nature Reviews PhysicsLearning quantum systems (opens in a new tab)
- Applied Physics ReviewsProbing quantum devices with radio-frequency reflectometry (opens in a new tab)
Where alumni went8 listed, 75% to industry
Industry 6Academia 2
Most often to
- CEO/Co-Founder at Conductor Quantum
- Intel
Also to
- Cornell University
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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