Release Notes

MindQuantum 0.10.0 Release Notes

Major Features and Improvements

Algorithm

• [BETA] virtual_distillation: Added error mitigation algorithm based on virtual distillation, which reduces quantum noise by creating virtual copies of quantum states and performing measurements on an entangled system.

• [BETA] QuantumNeuron: Added quantum neuron implementation based on Repeat-Until-Success (RUS) strategy, which simulates classical neuron behavior through quantum circuits by applying non-linear function rotations.

• [STABLE] qjpeg: Added quantum image compression algorithm based on quantum Fourier transform, which can compress quantum images by reducing the number of qubits while preserving key information in the frequency domain.

• [STABLE] cnry_decompose: Added decomposition for CnRY gate.

• [STABLE] cnrz_decompose: Added decomposition for CnRZ gate.

• [STABLE] BSB: Added GPU acceleration support for Ballistic Simulated Bifurcation algorithm with the three precision options: 'cpu-float32', 'gpu-float16', 'gpu-int8'.

• [STABLE] DSB: Added GPU acceleration support for Discrete Simulated Bifurcation algorithm with the three precision options: 'cpu-float32', 'gpu-float16', 'gpu-int8'.

• [STABLE] qudit_symmetric_encoding: Added qudit encoding functionality that maps d-level quantum states to qubit states through symmetric encoding, enabling efficient simulation of higher-dimensional quantum systems on standard qubit-based quantum computers.

• [STABLE] qudit_symmetric_decoding: This feature introduces the ability to decode qubit symmetric states or matrices into qudit states or matrices, thereby enhancing the support for multi-level quantum systems. The decoding process involves transforming symmetric qubit states into corresponding qudit states, which facilitates efficient simulation of higher-dimensional quantum systems on standard qubit-based quantum computers.

• [STABLE] qutrit_symmetric_ansatz: Introduced a qutrit symmetric ansatz that constructs a qubit ansatz preserving the symmetry of encoding for arbitrary qutrit gates. This feature allows for efficient simulation of higher-dimensional quantum systems on standard qubit-based quantum computers by leveraging symmetry-preserving transformations. The ansatz supports decomposition into "zyz" or "u3" basis and can optionally include a global phase.

Measure

• [STABLE] MeasureResult.to_json: for measurement result serialization and storage

• [STABLE] MeasureResult.reverse_endian: reverse bit order in measurement results, enabling flexible endianness handling for quantum state readouts

Operator

• [STABLE] mat_to_op: Added function to convert matrix to QubitOperator, supporting both little-endian and big-endian qubit ordering for seamless integration with different quantum computing frameworks.

Circuit

• [STABLE] Added Circuit.from_qcis() and Circuit.to_qcis() functions for QCIS format conversion

• [STABLE] Added __eq__ and __ne__ methods for circuit comparison

• [STABLE] Circuit.depth(): Added function to calculate quantum circuit depth with options to include single-qubit gates and align gates to barriers.

IO

• [STABLE] QCIS: Added quantum circuit and QCIS format conversion class

Breaking Changes

• [IMPORTANT] The byte order of keys and samples in MeasureResult has been unified to little-endian. If your code uses these attributes, please carefully check and use the newly added reverse_endian method to adjust if needed.

Bug Fixes

• PR2497: Fixed potential parameter name duplication in Amplitude Encoder.

• PR2410: Fixed is_measure_end error that returned True even without measurement operations.

• PR2410: Fixed incorrect calculation results after reversing qubit order in two-qubit gates.

• PR2377: Fixed recursive error in DAGCircuit when processing deep circuits, now supporting arbitrary depth circuits.

• PR2345: Fixed calculation error in mqmatrix's get_expectation_with_grad method when processing batch Hamiltonians and added test cases.

• PR2345: Fixed error when using reverse_qubits with gates not added in specified order.

• PR2345: Fixed error in FermionOperator.hermitian() example code.

• PR2319: Fixed measurement error in Stabilizer simulator.

• PR2319: Fixed seed not properly applied in Stabilizer simulator.

• PR2319: Added verification for bit string correctness in Stabilizer simulator output.

• PR2315: Made MQSim and Hamiltonian serializable, supporting Python multiprocessing.

• PR2309: Fixed missing imaginary terms and coefficients in some QAOA ansatzes.

• PR2309: Fixed non-working QAOAAnsatz example.

• PR2309: Modified parameter names in ansatz circuits to match formulas.

• PR2296: Fixed index error in kron_factor_4x4_to_2x2s() return values, ensuring correctness of two-qubit gate decomposition function kak_decompose.

• PR2285: Removed unnecessary output during gradient computation.

Other Updates

• Optimized first-time quantum circuit execution speed for improved performance.

• Improved precision of params_zyz() function, enhancing ZYZ decomposition accuracy.

• Removed warning for uninstalled mqvector_gpu, now only prompting when used.

• Removed warning for uninstalled MindSpore, now only prompting when used.

• Added warning when Hamiltonian contains imaginary parts, alerting users to potential calculation anomalies.

• Enhanced clarity of warning messages when MindSpore is not installed.

• Changed pip source to Tsinghua mirror.