| Description: | [DCS Seminar] Dr. Soumik Adhikari (Skoltech’s Laboratory for Quantum Information Processing, Moscow, Russia) -- Hardware Tailored Variational Ansatz for Quantum Approximate Optimization |
| Date: | Friday, Sep 02, 2022 |
| Time: | 2:45 p.m. - 4:30 p.m. |
| Venue: | Meghnad Saha Lecture Theatre |
| Details: | Variational quantum algorithms involve training parameterized quantum circuits using a classical co-processor. An important variational algorithm, designed for combinatorial optimization, is the quantum approximate optimization algorithm. Realization of this algorithm on any modern quantum processor requires either embedding a problem instance into the system Hamiltonian or emulating the corresponding propagator by a gate sequence. For a vast range of problem instances this is impossible due to current circuit depth and hardware limitations. Hence we adapt the variational approach—using hardware specific Hamiltonians—to create ansatze families that circumvent several traditional embedding challenges and at the same time expand the application potential for modern day quantum processors. |
| Calendar: | Seminar Calendar (entered by sangita.sen) |