Quantum algorithms
Algorithms sized for noisy hardware, with honest error bars.
The question
What can a noisy chip with a few dozen qubits compute reliably today?
We count every shot. Each method is tested against exact answers on simulators first, then on hardware, so that we can say how much of a result is physics and how much is noise.
Methods, tools and data
| Algorithms | Variational eigensolvers, QAOA, Trotter simulation |
|---|---|
| Techniques | Measurement grouping, classical shadows, error mitigation |
| Targets | Small molecules, frustrated spin models, scheduling problems |
| Teaching | Circuit Lab exercises for the undergraduate course |
Representative papers
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23
“Shot-frugal variational eigensolvers with measurement grouping for small molecules”
Proc. International Symposium on Quantum Architectures (ISQA), pp. 88–95, 2026
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18
“Pulse-level calibration of cross-resonance gates with Bayesian experiment design”
Quantum Device Letters, Vol. 13, 081104, 2025
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17
“Error-mitigated Trotter simulation of a frustrated spin ladder on twelve qubits”
Journal of Applied Quantum Engineering, Vol. 7, No. 3, pp. 145–160, 2025
People on this topic
- Minji KwonPostdoctoral Researcher · Error-mitigated quantum simulation
- Eunseo NamPh.D. Student · Variational eigensolvers for chemistry
- Boram MoonM.S. Student · Ground-state energy benchmarks
- Arin SongM.S. Student · QAOA depth and performance
- Rina ShinUndergraduate Researcher · Circuit Lab teaching tool