Analog quantum computing is emerging as a powerful approach for addressing computationally intractable problems in quantum many-body physics. Classical computers struggle to simulate these systems due to the exponential growth in computational resources required as system size increases. Unlike digital quantum computers, which rely on discrete qubits and gate-based operations, analog quantum...
The introduction of high kinetic platforms in circuit QED allow for realization of coupled cavity array with low disorder, small footprint and large inter-site couplings [1]. This enables the study of challenging regimes of light-matter interaction within the paradigm of waveguide QED [2] e.g., giant qubits coupled non-locally to the waveguide. In this work, we conduct an experiment using a...
Janas is a startup that uses quantum computing technologies and techniques to solve today's industrial problems. In the NISQ settings, we think that only a hybrid approach with the right mix of conventional high performance computing (the specialty of our parent company eXact lab), machine learning and quantum processing can provide an edge in the near term. We further claim that quantum...
Quantum phase estimation (QPE) is a flagship algorithm for quantum simulation on fault-tolerant quantum computers. However, recent resource stimates[1] suggest that surpassing classical simulation techniques requires millions of gates and hundreds of logical qubits. Consequently, significant effort is being devoted to developing QPE-like algorithms that could demonstrate practical quantum...
Quantum state designs enable efficient sampling of random quantum states, with applications ranging from circuit design to black hole physics. While symmetries are known to reduce randomness, their role in generating state designs remains unclear. The projected ensemble framework [2, 3], which uses local projective measurements and many-body quantum chaos, has recently been introduced to...