The latest release of Cirq, v1.2.0, focuses on improving the expression and resource estimations for Fault-Tolerant Quantum Algorithms. Key improvements include support for gates that allocate new qubits as part of their decomposition, a contemporary top-level abstraction called cirq.QubitManager for managing ancilla qubits and an updated cirq.decompose infrastructure. A new sub-package, Cirq-FT, has been introduced for rapid prototyping and resource estimation of fault-tolerant algorithms. The release also includes performance improvements, new protocols, and support for Python 3.11. Contributors include Tanuj Khattar, Pavol Juhas, and Matthew Harrigan, among others.
Cirq v1.2.0 Release: Key Improvements
The core of Cirq has been enhanced with new protocols and simulators that now support gates that allocate new qubits as part of their decomposition. A new top-level abstraction, cirq.QubitManager, has been introduced to manage ancilla qubits during circuit construction. The cirq.decompose infrastructure has also been updated to allow new composite gates to override the decompose_with_context method, providing access to a cirq.DecompositionContext that contains options such as a cirq.QubitManager.
Cirq-FT is a new sub-package designed for rapid prototyping and resource estimation of fault-tolerant algorithms. It extends Cirq with several notable features. These include a concept of qubit Register/Registers that simplifies the expression of composite gates’ signature in terms of named groups of logical qubits. A cirq_ft.GateWithRegisters base class has been introduced, which acts as a SHIM on top of the flat qubits API of the cirq.Gate class. This helps users define their composite gates using qubit registers. New protocols, like cirq_ft.TComplexity, have been added for macroscopic resource estimation.
The release also includes several other changes. Support for Python 3.7 and 3.8 has been dropped, while support for Python 3.11 has been added. Performance improvements have been made for parameter resolution, and a new cirq_debug flag has been introduced that provides an option to disable validations at the time of circuit construction.
Fast Summary
The latest release of Cirq, a quantum computing software library, includes improvements that make it easier to express and estimate resources for Fault Tolerant Quantum Algorithms. The update also introduces a new sub-package, Cirq-FT, for rapid prototyping and resource estimation of fault-tolerant algorithms, and drops support for Python 3.7 and 3.8 in favour of Python 3.11.
- The latest release of Cirq, v1.2.0, focuses on making it easier to express and do resource estimations for Fault-Tolerant Quantum Algorithms.
- Improvements have been made to Cirq-Core, including support for gates that allocate new qubits as part of their decomposition and a new top-level abstraction, cirq.QubitManager, for managing ancilla qubits at the time of circuit construction.
- A new sub-package, Cirq-FT, has been introduced for rapid prototyping and resource estimation of fault-tolerant algorithms. It includes features such as a concept of qubit Register/Registers and new protocols for macroscopic resource estimation.
- The release also includes performance improvements for parameter resolution and a new cirq_debug flag that provides an option to disable validations at the time of circuit construction.
- Support for Python 3.7 and 3.8 has been dropped, while support for Python 3.11 has been added.
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