Demo on " Constant-depth preparation of matrix product states with dynamic circuits" #1185
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dwierichs
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dwierichs
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Aug 19, 2024
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| "dateOfPublication": "2024-09-10T00:00:00+00:00", | ||
| "dateOfLastModification": "2024-09-10T00:00:00+00:00", |
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Qottmann
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Sep 19, 2024
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This has turned out super nice, really well done @dwierichs
Just have some further, rather nitpicky but I think important points about the (very nice) illustrations and their positioning 🙃
ikurecic
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Oct 4, 2024
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Thank you, @dwierichs . I've left some comments and suggestions. Please let me know if there's something I can clarify or help with. Thanks.
Co-authored-by: Ivana Kurečić <[email protected]>
ikurecic
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Oct 9, 2024
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Nov 8, 2024
**Context:** On the level of mid-scale algorithms, it might be nice to differentiate between different "types" of wires, for example by coloring them differently, or giving them distinct line styles. As an example, in PennyLaneAI/qml#1185 on preparing matrix product states, there are auxiliary bond qubits and physical qubits, and coloring them differently would be a neat thing to do. **Description of the Change:** Update the output wire_options that could change the line style and color for circuit output. ```python @qml.qnode(qml.device("default.qubit")) def node(x): for w in range(5): qml.Hadamard(w) return qml.expval(qml.PauliZ(0) @ qml.PauliY(1)) # Make all wires cyan and bold, # except for wires 2 and 6, which are dashed and another color wire_options = {"color": "cyan", "linewidth": 5, 2: {"linestyle": "--", "color": "red"}, 6: {"linestyle": "--", "color": "orange"} } _,ax = qml.draw_mpl(node, wire_options=wire_options)(0.52) ``` **Benefits:** When complicated sates and quantum circuits diagram are created, wires could be marked with different selections. **Possible Drawbacks:** N/A **Related GitHub Issues:** #6165 --------- Co-authored-by: David Wierichs <[email protected]> Co-authored-by: ringo-but-quantum <> Co-authored-by: Astral Cai <[email protected]> Co-authored-by: Christina Lee <[email protected]>
mudit2812
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Nov 11, 2024
**Context:** On the level of mid-scale algorithms, it might be nice to differentiate between different "types" of wires, for example by coloring them differently, or giving them distinct line styles. As an example, in PennyLaneAI/qml#1185 on preparing matrix product states, there are auxiliary bond qubits and physical qubits, and coloring them differently would be a neat thing to do. **Description of the Change:** Update the output wire_options that could change the line style and color for circuit output. ```python @qml.qnode(qml.device("default.qubit")) def node(x): for w in range(5): qml.Hadamard(w) return qml.expval(qml.PauliZ(0) @ qml.PauliY(1)) # Make all wires cyan and bold, # except for wires 2 and 6, which are dashed and another color wire_options = {"color": "cyan", "linewidth": 5, 2: {"linestyle": "--", "color": "red"}, 6: {"linestyle": "--", "color": "orange"} } _,ax = qml.draw_mpl(node, wire_options=wire_options)(0.52) ``` **Benefits:** When complicated sates and quantum circuits diagram are created, wires could be marked with different selections. **Possible Drawbacks:** N/A **Related GitHub Issues:** #6165 --------- Co-authored-by: David Wierichs <[email protected]> Co-authored-by: ringo-but-quantum <> Co-authored-by: Astral Cai <[email protected]> Co-authored-by: Christina Lee <[email protected]>
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Title:
Constant-depth preparation of matrix product states with dynamic circuits
Summary:
Matrix product states (MPS) form an important class of quantum many-body states. Preparing them is an important subroutine for any algorithm that want to use MPS as an initial state, for example. A recent paper, on which this demo is based, and which it is following closely, generalized a method that reduces the depth of such a preparation circuit to constant scaling, by using auxiliary qubits and dynamic quantum circuits (mid-circuit measurements together with classical feedforward).
We here focus on the simplest scenario in the main text of the paper, and implement a simple example in code.
The implemented MPS has a parameter controlling the correlation length of the prepared state, which we verify explicitly.
Relevant references:
https://arxiv.org/pdf/2404.16083
https://arxiv.org/pdf/quant-ph/0501096
https://journals.aps.org/prxquantum/pdf/10.1103/PRXQuantum.4.020315
Possible Drawbacks:
Related GitHub Issues:
If you are writing a demonstration, please answer these questions to facilitate the marketing process.
GOALS — Why are we working on this now?
Mid-circuit measurements recently are/were a focus point in PennyLane. MPS states are used in some quantum chemistry algorithms as initial state.
AUDIENCE — Who is this for?
Researchers in quantum algorithms
KEYWORDS — What words should be included in the marketing post?
TBD
(more details here)
[sc-64275]