MindQuantum Release Notes
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MindQuantum 0.7.0 Release Notes
Major Features and Improvements
Circuit
- [STABLE]
as_encoder
: Method of Circuit
to mark this circuit as an encoder circuit.
- [STABLE]
as_ansatz
: Method of Circuit
to mark this circuit as an ansatz circuit.
- [STABLE]
encoder_params_name
: Method of Circuit
to return the encoder parameters.
- [STABLE]
ansatz_params_name
: Method of Circuit
to return the ansatz parameters.
- [STABLE]
remove_noise
: Method of Circuit
to remove all noise channel.
- [STABLE]
with_noise
: Method of Circuit
to add a given noise channel after every gate.
- [STABLE]
as_encoder
: A decorator to wrap a function, so that it can generate an encoder circuit.
- [STABLE]
as_ansatz
: A decorator to wrap a function, so that it can generate an ansatz circuit.
- [STABLE]
qfi
: A method that can calculate the quantum fisher information of a given parameterized quantum circuit.
- [STABLE]
partial_psi_partial_psi
: A method that can calculate the first part of quantum fisher information.
- [STABLE]
partial_psi_psi
: A method that can calculate the second part of quantum fisher information.
Gates
- [STABLE]
AmplitudeDampingChannel
: Amplitude damping channel express error that qubit is affected by the energy dissipation.
- [STABLE]
PhaseDampingChannel
: Phase damping channel express error that qubit loses quantum information without exchanging energy with environment
FermionOperator and QubitOperator
- [STABLE]
split
: A method of FermionOperator and QubitOperator that can split the coefficient with the operator.
ParameterResolver
- [STABLE]
astype
: Convert the ParameterResolver to a given type, can be float or double complex
- [STABLE]
const
: Get the constant part of this ParameterResolver.
- [STABLE]
is_const
: Check whether this ParameterResolver is constant.
- [STABLE]
encoder_part
: Set a part of parameter to be encoder parameter.
- [STABLE]
ansatz_part
: Set a part of parameter to be ansatz parameter.
- [STABLE]
as_encoder
: Set all parameter to encoder parameters.
- [STABLE]
as_ansatz
: Set all parameter to ansatz parameters.
- [STABLE]
encoder_parameters
: Return all encoder parameters.
- [STABLE]
ansatz_parameters
: Return all ansatz parameters.
- [STABLE]
is_hermitian
: Check whether this ParameterResolver is hermitian conjugate.
- [STABLE]
is_anti_hermitian
: Check whether this ParameterResolver is anti hermitian conjugate.
- [STABLE]
no_grad_parameters
: Return all parameters that do no require gradient.
- [STABLE]
requires_grad_parameters
: Return all parameters that require gradient.
Simulator
- [STABLE]
copy
: The simulator can now very easy to duplicate.
- [STABLE]
apply_gate
: In this version, you can apply a gate in differential version.
- [BETA]
inner_product
: Calculate the inner product of two state in two simulator.
IO
- [STABLE]
BlochScene
: Now we support display and animate a one qubit state in bloch sphere.
Contributors
Thanks goes to these wonderful people:
yufan, wengwenkang, xuxusheng, Damien Ngyuen, zhouxu, wangzidong, yangkang, lujiale, zhangzhenghai, fanyi, zhangwengang, wangkaisheng, zhoufeng, wangsiyuan, gongxiaoqing, chengxianbin, sunxiyin, wenwenkang, lvdingshun, cuijiangyu, chendiqing, zhangkai, Zotov Yuriy, liqin, zengjinglin, cuixiaopeng, 朱祎康, dorothy20212021, dsdsdshe, buyulin, norl-corxilea, herunhong, Arapat Ablimit, NoE, panshijie, longhanlin.
Contributions of any kind are welcome!
MindQuantum 0.6.0 Release Notes
Major Features and Improvements
Better iteration supported for QubitOperator
and FermionOperator
- Iterate over a multinomial fermion or boson operator and yield each term
- When the operator has only one item, each fermion or boson can be obtained through
singlet
Add line module
Richer circuit operation supported
Feature enhancement
MaxCutAnsatz
: get_partition, get the max-cut cutting solution
MaxCutAnsatz
: get_cut_value, get the number of cuts for a cutting solution
Circuit
: is_measure_end, determine whether the quantum circuit is the end of the measurement gate
SVG drawing mode that supports quantum circuits
- The quantum circuit build by mindquantum now can be showd by svg in jupyter notebook, just call
svg()
of any quantum circuits.
Noise simulator supported
MindQuantum adds the following quantum channels for quantum noise simulation
MindQuantum 0.5.0 Release Notes
Major Features and Improvements
API Change
Backwards Incompatible Change
We unified the abbreviations of some nouns in MindQuantum.
isparameter
property of gate changes to parameterized
0.3.1 | 0.5.0 |
>>> from mindquantum import RX
>>> gate = RX('a').on(0)
>>> gate.isparameter
True
|
>>> from mindquantum import RX
>>> gate = RX('a').on(0)
>>> gate.parameterized
True
|
para_name
of a quantum circuit changes to params_name
0.3.1 | 0.5.0 |
>>> from mindquantum import Circuit
>>> circ = Circuit().rx('a', 0)
>>> circ.para_name
['a']
|
>>> from mindquantum import Circuit
>>> circ = Circuit().rx('a', 0)
>>> circ.params_name
['a']
|
The quantum neural network API was redesigned in this version. From now on, we can easily build a hybrid quantum neural network with the help of Simulator
in PYNATIVE_MODE
.
The following API was removed.
generate_pqc_operator
PQC
MindQuantumLayer
generate_evolution_operator
Evolution
MindQuantumAnsatzOnlyLayer
MindQuantumAnsatzOnlyOperator
The new API was shown as below.
MQOps
MQN2Ops
MQAnsatzOnlyOps
MQN2AnsatzOnlyOps
MQEncoderOnlyOps
MQN2EncoderOnlyOps
MQLayer
MQN2Layer
MQAnsatzOnlyLayer
MQN2AnsatzOnlyLayer
The above modules are placed in mindquantum.framework
.
Removed
Due to the duplication of functions, we deleted some APIs.
mindquantum.circuit.StateEvolution
The following APIs have been remoted.
mindquantum.core.operators.Hamiltonian.mindspore_data
mindquantum.core.operators.Projector.mindspore_data
mindquantum.core.circuit.Circuit.mindspore_data
mindquantum.core.parameterresolver.ParameterResolver.mindspore_data
New feature
New gates are shown as below.
mindquantum.core.gates.SGate
mindquantum.core.gates.TGate
Measurement on certain qubits are now supported. The related APIs are shown as below.
mindquantum.core.gates.Measure
mindquantum.core.gates.MeasureResult
QASM is now supported.
mindquantum.io.OpenQASM
mindquantum.io.random_hiqasm
mindquantum.io.HiQASM
Simulator is now separated from MindSpore backend. Now you can easily to use a simulator.
mindquantum.simulator.Simulator
Refactoring
For improving MindQuantum's package structure, we did some refactoring on MindQuantum.
old | new |
mindquantum.gate.Hamiltonian
|
mindquantum.core.operators.Hamiltonian
|
mindquantum.gate.Projector
|
mindquantum.core.operators.Projector
|
mindquantum.circuit.qft
|
mindquantum.algorithm.library.qft
|
mindquantum.circuit.generate_uccsd
|
mindquantum.algorithm.nisq.chem.generate_uccsd
|
mindquantum.circuit.TimeEvolution
|
mindquantum.core.operators.TimeEvolution
|
mindquantum.utils.count_qubits
|
mindquantum.core.operators.count_qubits
|
mindquantum.utils.commutator
|
mindquantum.core.operators.commutator
|
mindquantum.utils.normal_ordered
|
mindquantum.core.operators.normal_ordered
|
mindquantum.utils.get_fermion_operator
|
mindquantum.core.operators.get_fermion_operator
|
mindquantum.utils.number_operator
|
mindquantum.core.operators.number_operator
|
mindquantum.utils.hermitian_conjugated
|
mindquantum.core.operators.hermitian_conjugated
|
mindquantum.utils.up_index
|
mindquantum.core.operators.up_index
|
mindquantum.utils.down_index
|
mindquantum.core.operators.down_index
|
mindquantum.utils.sz_operator
|
mindquantum.core.operators.sz_operator
|
mindquantum.ansatz.Ansatz
|
mindquantum.algorithm.nisq.Ansatz
|
mindquantum.ansatz.MaxCutAnsatz
|
mindquantum.algorithm.nisq.qaoa.MaxCutAnsatz
|
mindquantum.ansatz.Max2SATAnsatz
|
mindquantum.algorithm.nisq.qaoa.Max2SATAnsatz
|
mindquantum.ansatz.HardwareEfficientAnsatz
|
mindquantum.algorithm.nisq.chem.HardwareEfficientAnsatz
|
mindquantum.ansatz.QubitUCCAnsatz
|
mindquantum.algorithm.nisq.chem.QubitUCCAnsatz
|
mindquantum.ansatz.UCCAnsatz
|
mindquantum.algorithm.nisq.chem.UCCAnsatz
|
mindquantum.hiqfermion.Transform
|
mindquantum.algorithm.nisq.chem.Transform
|
mindquantum.hiqfermion.get_qubit_hamiltonian
|
mindquantum.algorithm.nisq.chem.get_qubit_hamiltonian
|
mindquantum.hiqfermion.uccsd_singlet_generator
|
mindquantum.algorithm.nisq.chem.uccsd_singlet_generator
|
mindquantum.hiqfermion.uccsd_singlet_get_packed_amplitudes
|
mindquantum.algorithm.nisq.chem.uccsd_singlet_get_packed_amplitudes
|
mindquantum.hiqfermion.uccsd0_singlet_generator
|
mindquantum.algorithm.nisq.chem.uccsd0_singlet_generator
|
mindquantum.hiqfermion.quccsd_generator
|
mindquantum.algorithm.nisq.chem.quccsd_generator
|
mindquantum.utils.bprint
|
mindquantum.io.bprint
|
mindquantum.circuit
|
mindquantum.core.circuit
|
mindquantum.gate
|
mindquantum.core.gates
|
mindquantum.ops
|
mindquantum.core.operators
|
mindquantum.parameterresolver
|
mindquantum.core.parameterresolver
|
| |
Contributors
Thanks goes to these wonderful people:
yufan, wengwenkang, xuxusheng, Damien Ngyuen, zhouxu, wangzidong, yangkang, lujiale, zhangzhenghai, fanyi, zhangwengang, wangkaisheng, zhoufeng, wangsiyuan, gongxiaoqing, chengxianbin, sunxiyin, wenwenkang, lvdingshun, cuijiangyu, chendiqing, zhangkai, Zotov Yuriy, liqin, zengjinglin, cuixiaopeng.
Contributions of any kind are welcome!
MindQuantum 0.3.1 Release Notes
Major Features and Improvements
- Three tutorials have been rewritten to make them easier to read
- Circuit information such as qubit number, parameters will update immediately after you add gate
- The UN operator now support parameterized gate
- New ansatz that solving max 2 sat problem now are supported
Contributors
Thanks goes to these wonderful people:
yufan, wengwenkang, xuxusheng, wangzidong, yangkang, lujiale, fanyi, zhangwengang, wangkaisheng, zhoufeng, wangsiyuan, gongxiaoqing, chengxianbin, sunxiyin, wenwenkang, lvdingshun, cuijiangyu, chendiqing, zhangkai, Damien Ngyuen, Zotov Yuriy, liqin, zengjinglin, cuixiaopeng.
Contributions of any kind are welcome!
MindQuantum 0.2.0 Release Notes
Major Features and Improvements
- Parameterized FermionOperator and QubitOperator for quantum chemistry
- Different kinds of transformation between FermionOperator and QubitOperator
- UCCSD, QAOA and hardware efficient ansatz supported
- MindQuantumAnsatzOnlyLayer for simulating circuit with ansatz only circuit
- TimeEvolution with first order Trotter decomposition
- High level operations for modifying quantum circuit
Contributors
Thanks goes to these wonderful people:
yufan, wengwenkang, xuxusheng, wangzidong, yangkang, lujiale, fanyi, zhangwengang, wangkaisheng, zhoufeng, wangsiyuan, gongxiaoqing, chengxianbin, sunxiyin, wenwenkang, lvdingshun, cuijiangyu, chendiqing, zhangkai, Damien Ngyuen, Zotov Yuriy, liqin, zengjinglin, cuixiaopeng.
Contributions of any kind are welcome!
MindQuantum 0.1.0 Release Notes
Initial release of MindQuantum.
Major Features and Improvements
- Easily build parameterized quantum circuit.
- Effectively simulate quantum circuit.
- Calculating the gradient of parameters of quantum circuit.
- PQC (parameterized quantum circuit) operator that naturally compatible with other operators in mindspore framework.
- Evolution operator that evaluate a quantum circuit and return the quantum state.
- Data parallelization for PQC operator.
Contributors
Thanks goes to these wonderful people:
yufan, wengwenkang, xuxusheng, wangzidong, yangkang, lujiale, wangkaisheng, zhoufeng, wangsiyuan, gongxiaoqing, chengxianbin, sunxiyin, wenwenkang, lvdingshun, cuijiangyu, chendiqing, zhangkai, Damien Ngyuen, Zotov Yuriy, liqin, zengjinglin, cuixiaopeng.
MindQuantum adds the following quantum channels for quantum noise simulation
Contributions of any kind are welcome!