Uploaded February 2026 | Updated September 2026, 3 weeks ago
Recorded 19 February 2026. Athena Caesura of PsiQuantum presents "Deeper Compilation in the Active Volume Architecture" at IPAM's Bridging the Gap Between NISQ and FTQC Workshop.
Abstract: Resource estimates for the active volume architecture have traditionally been derived by counting the active volume and number of qubits, then substituting these values into a closed-form expression. In this talk, I present software that produces more accurate resource estimates by explicitly scheduling operations. By explicitly assigning qubits to a given task at each logical cycle, the software captures the costs of bridging, stale states, and dynamic memory usage. Using this approach, we achieved a 5× speedup on an EFTQC Fermi–Hubbard simulation task compared with estimates produced by closed-form expressions.
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/bridging-the-gap-between-nisq-and-ftqc/
Recorded 19 February 2026. Athena Caesura of PsiQuantum presents "Deeper Compilation in the Active Volume Architecture" at IPAM's Bridging the Gap Between NISQ and FTQC Workshop.
Abstract: Resource estimates for the active volume architecture have traditionally been derived by counting the active volume and number of qubits, then substituting these values into a closed-form expression. In this talk, I present software that produces more accurate resource estimates by explicitly scheduling operations. By explicitly assigning qubits to a given task at each logical cycle, the software captures the costs of bridging, stale states, and dynamic memory usage. Using this approach, we achieved a 5× speedup on an EFTQC Fermi–Hubbard simulation task compared with estimates produced by closed-form expressions.
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/bridging-the-gap-between-nisq-and-ftqc/
