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- The University of SydneyAU198 papers
- Centre for Quantum Computation and Communication TechnologyAU120 papers
- UNSW SydneyAU97 papers
- Australian National UniversityAU88 papers
- Tsinghua UniversityCN80 papers
- Commonwealth Scientific and Industrial Research OrganisationAU75 papers
- Chinese Academy of SciencesCN74 papers
- Macquarie UniversityAU68 papers
- The University of MelbourneAU50 papers
- Data61AU43 papers
- ARC Centre of Excellence for Transformative Meta-Optical SystemsAU41 papers
- Nanyang Technological UniversitySG41 papers
34 papers · 2 filters
Quantum topology identification with deep neural networks and quantum walks
Yurui Ming, Chin-Teng Lin, Stephen D. Bartlett +1
Topologically ordered materials may serve as a platform for new quantum technologies such as fault-tolerant quantum computers. To fulfil this promise, efficient and general methods…
Equivalence Checking of Sequential Quantum Circuits
Qisheng Wang, Riling Li, Mingsheng Ying
We define a formal framework for equivalence checking of sequential quantum circuits. The model we adopt is a quantum state machine, which is a natural quantum generalisation of Me…
Witnessing quantum memory in non-Markovian processes
Christina Giarmatzi, Fabio Costa
We present a method to detect quantum memory in a non-Markovian process. We call a process Markovian when the environment does not provide a memory that retains correlations across…
The Expressive Power of Parameterized Quantum Circuits
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu +1
Parameterized quantum circuits (PQCs) have been broadly used as a hybrid quantum-classical machine learning scheme to accomplish generative tasks. However, whether PQCs have better…
Avoiding irreversibility: engineering resonant conversions of quantum resources
Kamil Korzekwa, Christopher T. Chubb, Marco Tomamichel
We identify and explore the intriguing property of resource resonance arising within resource theories of entanglement, coherence and thermodynamics. While the theories considered…
Two new results about quantum exact learning
Srinivasan Arunachalam, Sourav Chakraborty, Troy Lee +2
We present two new results about exact learning by quantum computers. First, we show how to exactly learn a -Fourier-sparse -bit Boolean function from …