RELEASE.md · 倪旌哲/mindquantum

# MindQuantum Release Notes

[查看中文](./RELEASE_CN.md)

## MindQuantum  0.8.0 Release Notes

### Major Feature and Improvements

#### Gates

- [STABLE] [`FSim`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html?highlight=fsim#mindquantum.core.gates.FSim): Fermionic simulation gate supported, and this gate also works in variational quantum algorithm.
- [STABLE] [`U3`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html?highlight=fsim#mindquantum.core.gates.U3): The single qubit arbitrary gate U3 now will work as a single gate but not a piece of quantum circuit. U3 gate also works in variational quantum algorithm.
- [STABLE] [`Customed parameterized gate`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html#mindquantum.core.gates.gene_univ_parameterized_gate). Customed parameterized gate now will compiled to machine code by jit compiler [numba](https://numba.pydata.org), and the simulator backend can call customed parameterized gate in parallel thread.
- [STABLE] [`BarrierGate`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html?highlight=fsim#mindquantum.core.gates.BarrierGate): BarrierGate now can be acted on certain qubits.
- [STABLE] [`KrausChannel`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html?highlight=fsim#mindquantum.core.gates.KrausChannel): Design a customed kraus channel for quantum simulator.

#### Circuit

- [STABLE] [`svg`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.circuit.html#mindquantum.core.circuit.Circuit.svg): Now you can set the `width` to split the svg circuit, so that you can copy it into your paper.

#### Simulator

- [STABLE] **New simulator supported**. `mqvector` and `mqvector_gpu` are two mindquantum simulate that prepared for cpu and gpu. And `projectq` simulator will be deprecated. The new simulator is total compatible with old one, what you only to do is to change the backend name when you initialize the simulator.

## MindQuantum 0.7.0 Release Notes

### Major Features and Improvements

#### Circuit

- [STABLE] [`as_encoder`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.Circuit.as_encoder): Method of `Circuit` to mark this circuit as an encoder circuit.
- [STABLE] [`as_ansatz`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.Circuit.as_ansatz): Method of `Circuit` to mark this circuit as an ansatz circuit.
- [STABLE] [`encoder_params_name`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.Circuit.encoder_params_name): Method of `Circuit` to return all encoder parameters in the circuit.
- [STABLE] [`ansatz_params_name`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.Circuit.ansatz_params_name): Method of `Circuit` to return all ansatz parameters in the circuit.
- [STABLE] [`remove_noise`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.Circuit.remove_noise): Method of `Circuit` to remove all noise channels.
- [STABLE] [`with_noise`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.Circuit.with_noise): Method of `Circuit` to add a given noise channel after every non-noise gate.
- [STABLE] [`as_encoder`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.as_encoder): A decorator to mark the circuit returned by the decorator function as an encoder circuit.
- [STABLE] [`as_ansatz`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.as_ansatz): A decorator to mark the circuit returned by the decorator function as an ansatz circuit.
- [STABLE] [`qfi`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.qfi): A method that can calculate the quantum fisher information of a given parameterized quantum circuit.
- [STABLE] [`partial_psi_partial_psi`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.partial_psi_partial_psi): A method that can calculate the first part of quantum fisher information.
- [STABLE] [`partial_psi_psi`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.circuit.html#mindquantum.core.circuit.partial_psi_psi): A method that can calculate the second part of quantum fisher information.

#### Gates

- [STABLE] [`AmplitudeDampingChannel`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.gates.html#mindquantum.core.gates.AmplitudeDampingChannel): Amplitude damping channel, caused by the energy dissipation.
- [STABLE] [`PhaseDampingChannel`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.gates.html#mindquantum.core.gates.PhaseDampingChannel): Phase damping channel express error that qubit loses quantum information without exchanging energy with environment.

#### FermionOperator and QubitOperator

- [STABLE] [`split`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.operators.html#mindquantum.core.operators.FermionOperator.split): A method of `FermionOperator` and `QubitOperator` that can split the coefficient with the operator.

#### ParameterResolver

- [STABLE] [`astype`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.astype): Convert the ParameterResolver to a given type.
- [STABLE] [`const`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.const): Get the constant part of this ParameterResolver.
- [STABLE] [`is_const`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.is_const): Check whether this ParameterResolver is constant.
- [STABLE] [`encoder_part`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.encoder_part): Set a part of parameters to be encoder parameters.
- [STABLE] [`ansatz_part`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.ansatz_part): Set a part of parameters to be ansatz parameters.
- [STABLE] [`as_encoder`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.as_encoder): Set all parameters to encoder parameters.
- [STABLE] [`as_ansatz`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.as_ansatz): Set all parameters to ansatz parameters.
- [STABLE] [`encoder_parameters`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.encoder_parameters): Return all encoder parameters.
- [STABLE] [`ansatz_parameters`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.ansatz_parameters): Return all ansatz parameters.
- [STABLE] [`is_hermitian`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.is_hermitian): Check whether this ParameterResolver is hermitian conjugate.
- [STABLE] [`is_anti_hermitian`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.is_anti_hermitian): Check whether this ParameterResolver is anti hermitian conjugate.
- [STABLE] [`no_grad_parameters`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.no_grad_parameters): Return all parameters that do no require gradient.
- [STABLE] [`requires_grad_parameters`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.core.parameterresolver.html#mindquantum.core.parameterresolver.ParameterResolver.requires_grad_parameters): Return all parameters that require gradient.

#### Simulator

- [STABLE] [`copy`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.simulator.html#mindquantum.simulator.Simulator.copy): The simulator now supports replication.
- [STABLE] [`apply_gate`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.simulator.html#mindquantum.simulator.Simulator.apply_gate): In this version, you can apply a gate in differential version.
- [BETA] [`inner_product`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.simulator.html#mindquantum.simulator.inner_product): Calculate the inner product of two states in two given simulators.

#### IO

- [STABLE] [`BlochScene`](https://mindspore.cn/mindquantum/docs/en/master/mindquantum.io.html): We support the establishment of a Bloch sphere mapping scene, which can draw quantum states on it, and can also dynamically demonstrate the change of quantum states.

### 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

- [**general_w_state**](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.algorithm.library.html#mindquantumalgorithmlibrarygeneral-w-state): prepare w-state quantum circuits.
- [**general_ghz_state**](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.algorithm.library.html#mindquantumalgorithmlibrarygeneral-ghz-state): prepare ghz-state quantum circuits
- [**bitphaseflip_operator**](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.algorithm.library.html#mindquantumalgorithmlibrarybitphaseflip-operator): bit-flip quantum circuits
- [**amplitude_encoder**](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.algorithm.library.html#mindquantumalgorithmlibraryamplitude-encoder): amplitude-encoded quantum circuits

### Richer circuit operation supported

- `shift`: translation qubit

- `reverse_qubits`: flip circuit bit

### Feature enhancement

- `MaxCutAnsatz`: [**get_partition**](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.algorithm.nisq.html#mindquantumalgorithmnisqmaxcutansatzget-partition), get the max-cut cutting solution
- `MaxCutAnsatz`: [**get_cut_value**](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.algorithm.nisq.html#mindquantumalgorithmnisqmaxcutansatzget-cut-value), get the number of cuts for a cutting solution
- `Circuit`: [**is_measure_end**](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.circuit.html#mindquantumcorecircuitcircuitis-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

- [`PauliChannel`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html#mindquantumcoregatespaulichannel): Pauli channel
- [`BitFlipChannel`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html#mindquantumcoregatesbitflipchannel): bit-flip channel
- [`PhaseFlipChannel`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html#mindquantumcoregatesphaseflipchannel): phase-flip channel
- [`BitPhaseFlipChannel`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html#mindquantumcoregatesbitphaseflipchannel): bit-phase flip channel
- [`DepolarizingChannel`](https://mindspore.cn/mindquantum/docs/zh-CN/master/mindquantum.core.gates.html#mindquantumcoregatesdepolarizingchannel): depolarized channel

## 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`

```bash
>>> from mindquantum import RX
>>> gate = RX('a').on(0)
>>> gate.isparameter
True
```

</td>
<td>

```bash
>>> from mindquantum import RX
>>> gate = RX('a').on(0)
>>> gate.parameterized
True
```

</td>
</tr>
</table>

- `para_name` of a quantum circuit changes to `params_name`

```bash
>>> from mindquantum import Circuit
>>> circ = Circuit().rx('a', 0)
>>> circ.para_name
['a']
```

</td>
<td>

```bash
>>> from mindquantum import Circuit
>>> circ = Circuit().rx('a', 0)
>>> circ.params_name
['a']
```

</td>
</tr>
</table>

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.

1. `generate_pqc_operator`
2. `PQC`
3. `MindQuantumLayer`
4. `generate_evolution_operator`
5. `Evolution`
6. `MindQuantumAnsatzOnlyLayer`
7. `MindQuantumAnsatzOnlyOperator`

The new API was shown as below.

1. `MQOps`
2. `MQN2Ops`
3. `MQAnsatzOnlyOps`
4. `MQN2AnsatzOnlyOps`
5. `MQEncoderOnlyOps`
6. `MQN2EncoderOnlyOps`
7. `MQLayer`
8. `MQN2Layer`
9. `MQAnsatzOnlyLayer`
10. `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.

`mindquantum.gate.Hamiltonian`
</td><td>

`mindquantum.core.operators.Hamiltonian`
</td></tr>
<tr><td>

`mindquantum.gate.Projector`
</td><td>

`mindquantum.core.operators.Projector`
</td></tr>
<tr><td>

`mindquantum.circuit.qft`
</td><td>

`mindquantum.algorithm.library.qft`
</td></tr>
<tr><td>

`mindquantum.circuit.generate_uccsd`
</td><td>

`mindquantum.algorithm.nisq.chem.generate_uccsd`
</td></tr>
<tr><td>

`mindquantum.circuit.TimeEvolution`
</td><td>

`mindquantum.core.operators.TimeEvolution`
</td></tr>
<tr><td>

`mindquantum.utils.count_qubits`
</td><td>

`mindquantum.core.operators.count_qubits`
</td></tr>
<tr><td>

`mindquantum.utils.commutator`
</td><td>

`mindquantum.core.operators.commutator`
</td></tr><tr><td>

`mindquantum.utils.normal_ordered`
</td><td>

`mindquantum.core.operators.normal_ordered`
</td></tr><tr><td>

`mindquantum.utils.number_operator`
</td><td>

`mindquantum.core.operators.number_operator`
</td></tr><tr><td>

`mindquantum.utils.hermitian_conjugated`
</td><td>

`mindquantum.core.operators.hermitian_conjugated`
</td></tr><tr><td>

`mindquantum.utils.up_index`
</td><td>

`mindquantum.core.operators.up_index`
</td></tr><tr><td>

`mindquantum.utils.down_index`
</td><td>

`mindquantum.core.operators.down_index`
</td></tr><tr><td>

`mindquantum.utils.sz_operator`
</td><td>

`mindquantum.core.operators.sz_operator`
</td></tr>
<tr><td>

`mindquantum.ansatz.Ansatz`</td><td>

`mindquantum.algorithm.nisq.Ansatz`
</td></tr>
<tr><td>

`mindquantum.ansatz.MaxCutAnsatz`
</td><td>

`mindquantum.algorithm.nisq.qaoa.MaxCutAnsatz`
</td></tr>
<tr><td>

`mindquantum.ansatz.Max2SATAnsatz`
</td><td>

`mindquantum.algorithm.nisq.qaoa.Max2SATAnsatz`
</td></tr>
<tr><td>

`mindquantum.ansatz.HardwareEfficientAnsatz`
</td><td>

`mindquantum.algorithm.nisq.chem.HardwareEfficientAnsatz`
</td></tr>
<tr><td>

`mindquantum.ansatz.QubitUCCAnsatz`
</td><td>

`mindquantum.algorithm.nisq.chem.QubitUCCAnsatz`
</td></tr>
<tr><td>

`mindquantum.ansatz.UCCAnsatz`
</td><td>

`mindquantum.algorithm.nisq.chem.UCCAnsatz`
</td></tr>
<tr><td>

`mindquantum.hiqfermion.Transform`
</td><td>

`mindquantum.algorithm.nisq.chem.Transform`
</td></tr>
<tr><td>

`mindquantum.hiqfermion.get_qubit_hamiltonian`
</td><td>

`mindquantum.algorithm.nisq.chem.get_qubit_hamiltonian`
</td></tr>
<tr><td>

`mindquantum.hiqfermion.uccsd_singlet_generator`
</td><td>

`mindquantum.algorithm.nisq.chem.uccsd_singlet_generator`
</td></tr>
<tr><td>

`mindquantum.hiqfermion.uccsd_singlet_get_packed_amplitudes`
</td><td>

`mindquantum.algorithm.nisq.chem.uccsd_singlet_get_packed_amplitudes`
</td></tr>
<tr><td>

`mindquantum.hiqfermion.uccsd0_singlet_generator`
</td><td>

`mindquantum.algorithm.nisq.chem.uccsd0_singlet_generator`
</td></tr>
<tr><td>

`mindquantum.hiqfermion.quccsd_generator`
</td><td>

`mindquantum.algorithm.nisq.chem.quccsd_generator`
</td></tr>
<tr><td>

`mindquantum.utils.bprint`
</td><td>

`mindquantum.io.bprint`
</td></tr>
<tr><td>

`mindquantum.circuit`
</td><td>

`mindquantum.core.circuit`
</td></tr>
<tr><td>

`mindquantum.gate`
</td><td>

`mindquantum.core.gates`
</td></tr>
<tr><td>

`mindquantum.ops`
</td><td>

`mindquantum.core.operators`
</td></tr>
<tr><td>

`mindquantum.parameterresolver`
</td><td>

`mindquantum.core.parameterresolver`
</td></tr>
<tr><td></td><td></td></tr>
</table>

### Contributors

Thanks goes to these wonderful people:

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

1. Parameterized FermionOperator and QubitOperator for quantum chemistry
2. Different kinds of transformation between FermionOperator and QubitOperator
3. UCCSD, QAOA and hardware efficient ansatz supported
4. MindQuantumAnsatzOnlyLayer for simulating circuit with ansatz only circuit
5. TimeEvolution with first order Trotter decomposition
6. High level operations for modifying quantum circuit

### Contributors

Thanks goes to these wonderful people:

Contributions of any kind are welcome!

## MindQuantum 0.1.0 Release Notes

Initial release of MindQuantum.

### Major Features and Improvements

1. Easily build parameterized quantum circuit.
2. Effectively simulate quantum circuit.
3. Calculating the gradient of parameters of quantum circuit.
4. PQC (parameterized quantum circuit) operator that naturally compatible with other operators in mindspore framework.
5. Evolution operator that evaluate a quantum circuit and return the quantum state.
6. 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!

倪旌哲/mindquantum

简介

发行版

贡献者

近期动态

倪旌哲/mindquantum .gitee-modal { width: 500px !important; }

简介

发行版

贡献者

近期动态

搜索帮助

倪旌哲/mindquantum