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Update Q-CTRL Qiskit Function guides #2134

Merged
merged 12 commits into from
Oct 17, 2024
Merged

Update Q-CTRL Qiskit Function guides #2134

merged 12 commits into from
Oct 17, 2024

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rowenwu
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@rowenwu rowenwu commented Oct 14, 2024

  • Update schemas for both functions
  • Split out Sampler/Estimator docs, rerun problems, update outputs
  • Update some text and typos

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CLAassistant commented Oct 14, 2024 •
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pandasa123
pandasa123 suggested changes Oct 15, 2024
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@rowenwu, this looks excellent, thank you for adding the working backends!

docs/guides/q-ctrl-performance-management.ipynb Outdated
"- A list of Pauli strings with coefficients: `[(\"XY\", 0.5), (\"YZ\", 0.3)]`\n",
"- A nested list of Pauli strings: `[[\"XY\", \"YZ\"], [\"ZX\", \"XX\"]]`\n",
"- A nested list of Pauli strings with coefficients: `[[(\"XY\", 0.1), (\"YZ\", 0.2)], [(\"ZX\", 0.3), (\"XX\", 0.4)]]`\n",
"Fire Opal's pipeline requires no compute time or physical overhead. In contrast to error mitigation, which requires overhead in the form of sampling, Fire Opal's error suppression works at both the gate and pulse levels to address various sources of noise and to prevent the likelihood of an error occurring. By preventing errors, the need for expensive post-processing is eliminated.\n",
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No compute time or physical overhead

Can we clarify there is classical compute time?

docs/guides/q-ctrl-performance-management.ipynb Outdated
"| backend_name| `str` | The name of the backend | No | The least busy backend that your instance has access to | `\"ibm_fez\"` |\n",
"| options| `dict` | Input options; see Options section for more details | No | See the Options section for details | `{\"default_shots\": 2048}` |\n",
"\n",
"**`EstimatorPubLike` components:**\n",
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I think this should also point to Primitive input and output

docs/guides/q-ctrl-performance-management.ipynb Show resolved Hide resolved
docs/guides/q-ctrl-performance-management.ipynb Outdated
"name": "stdout",
"output_type": "stream",
"text": [
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'11111111111111111111011100011110111': 1, '11111111111111111111011100111101110': 1, '11111111111111111111011101001111111': 1, '11111111111111111111011110011100111': 1, '11111111111111111111011110100111101': 1, '11111111111111111111011111101111100': 1, '11111111111111111111011111110101111': 1, '11111111111111111111011111111011111': 1, '11111111111111111111011111111101111': 1, '11111111111111111111011111111111110': 3, '11111111111111111111100011010011000': 1, '11111111111111111111110000001111110': 1, '11111111111111111111110101101111100': 1, '11111111111111111111110101111111111': 1, '11111111111111111111110110100111111': 1, '11111111111111111111110110111111111': 1, '11111111111111111111110111010111110': 1, '11111111111111111111110111011111011': 1, '11111111111111111111110111110111101': 1, '11111111111111111111110111110111110': 1, '11111111111111111111111000101111101': 1, '11111111111111111111111001011101100': 1, '11111111111111111111111001111101100': 1, '11111111111111111111111010111011111': 1, '11111111111111111111111010111110101': 1, '11111111111111111111111010111111110': 1, '11111111111111111111111011011111111': 1, '11111111111111111111111011100111111': 1, '11111111111111111111111011110111110': 1, '11111111111111111111111100010101011': 1, '11111111111111111111111100011100101': 1, '11111111111111111111111100011111100': 1, '11111111111111111111111100011111110': 1, '11111111111111111111111101010111110': 1, '11111111111111111111111101011111111': 4, '11111111111111111111111101101011110': 1, '11111111111111111111111101110111100': 1, '11111111111111111111111101111100101': 1, '11111111111111111111111101111111011': 3, '11111111111111111111111110000111100': 1, '11111111111111111111111110011111111': 1, '11111111111111111111111110100101011': 1, '11111111111111111111111110100111110': 1, '11111111111111111111111110101101111': 1, '11111111111111111111111110110110110': 1, '11111111111111111111111110111011110': 1, '11111111111111111111111110111011111': 1, '11111111111111111111111110111111010': 1, '11111111111111111111111110111111101': 6, '11111111111111111111111110111111111': 2, '11111111111111111111111111001110110': 1, '11111111111111111111111111011111101': 1, '11111111111111111111111111011111110': 1, '11111111111111111111111111100011110': 1, '11111111111111111111111111101100110': 1, '11111111111111111111111111101111101': 1, '11111111111111111111111111110000100': 1, '11111111111111111111111111110101110': 1, '11111111111111111111111111110111101': 1, '11111111111111111111111111110111110': 3, '11111111111111111111111111110111111': 3, '11111111111111111111111111111110101': 1, '11111111111111111111111111111110110': 1, '11111111111111111111111111111111100': 1, '11111111111111111111111111111111110': 1, '11111111111111111111111111111111111': 2}\n"
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I wonder if it makes sense to print this out or just plot a histogram instead

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I was just following the examples here, but I can plot them if that's allowed.

jyu00
jyu00 reviewed Oct 15, 2024
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"metadata": {},
"source": [
"## Example: Sampler\n",
"### Estimator Example\n",
"\n",
"Use the Sampler mode of Fire Opal Performance Management to run a Bernstein–Vazirani circuit. This algorithm, used to find a hidden string from the outputs of a black box function, is a common benchmarking algorithm because there is a single correct answer."
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"Use the Sampler mode of Fire Opal Performance Management to run a Bernstein–Vazirani circuit. This algorithm, used to find a hidden string from the outputs of a black box function, is a common benchmarking algorithm because there is a single correct answer."
"Use the Estimator mode of Fire Opal Performance Management to run a Bernstein–Vazirani circuit. This algorithm, used to find a hidden string from the outputs of a black box function, is a common benchmarking algorithm because there is a single correct answer."

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abbycross
abbycross reviewed Oct 15, 2024
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"| 0-d array (single binding) | `{\"a\": 4, (\"b\", \"c\"): [5, 6]}` |\n",
"| Single array (last index for parameters) | `{\"a[0]\", \"a[1]\", \"a[2]\": [0.1, 0.2, 0.3]}` |\n",
"| Multiple arrays (last index for parameters, flexible dimensions) | `{\"c\": np.ones((10, 10, 2)).tolist(), \"b\": np.zeros((10, 10)).tolist()}` |"
"The function offers two primitives, Sampler and Estimator, and the inputs and outputs of both follow the implemented spec for [Qiskit Runtime V2 primitives](../migration-guides/v2-primitives). See the Inputs and Outputs sections for detailed interface information."
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"The function offers two primitives, Sampler and Estimator, and the inputs and outputs of both follow the implemented spec for [Qiskit Runtime V2 primitives](../migration-guides/v2-primitives). See the Inputs and Outputs sections for detailed interface information."
"The function offers two primitives, Sampler and Estimator, and the inputs and outputs of both follow the implemented spec for [Qiskit Runtime V2 primitives](/guides/primitive-input-output).

chongyouquan
chongyouquan reviewed Oct 15, 2024
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Thanks Rowen! Just a few comments!

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@rowenwu rowenwu requested a review from jyu00 October 15, 2024 23:16
@rowenwu rowenwu requested a review from jyu00 October 16, 2024 23:22
@Eric-Arellano
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The failing test is not related to this change. It's the first time we've seen it - I'll fix in another PR. So, I'm going to admin merge this.

Thanks for the contribution, Rowen!

@Eric-Arellano Eric-Arellano merged commit 1c0954e into Qiskit:main Oct 17, 2024
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@abbycross abbycross abbycross approved these changes

@pandasa123 pandasa123 Awaiting requested review from pandasa123

@chongyouquan chongyouquan Awaiting requested review from chongyouquan

@jyu00 jyu00 Awaiting requested review from jyu00

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@rowenwu @CLAassistant @qiskit-bot @Eric-Arellano @pandasa123 @jyu00 @abbycross @chongyouquan