Qualtran
Invent, express, and analyze fault-tolerant quantum algorithms
Qualtran combines a set of abstractions for representing quantum programs, a Python library of quantum algorithms written using those abstractions, and facilities for analyzing the algorithms. Qualtran also provides a graphical interface for estimating the physical resources (qubits, magic states, and more) needed to run a quantum program. Together, these features enable advanced research into fault-tolerant quantum algorithms.
import sympy from qualtran.bloqs.cryptography.rsa import ModExp from qualtran.resource_counting import get_cost_value, QECGatesCost from qualtran.drawing import show_bloq n = sympy.Symbol('n') modexp = ModExp(base=4, mod=15, exp_bitsize=3, x_bitsize=n) cost = get_cost_value(modexp, QECGatesCost()) print(cost) composite_bloq = modexp.decompose_bloq() # See a visual representation of the composite bloq from # within a Jupyter notebook. show_bloq(composite_bloq)