From 856b338d1345c3c6626ef2221641effc0ce5a93b Mon Sep 17 00:00:00 2001 From: Zachary Crockett Date: Sat, 15 Apr 2023 16:07:39 -0700 Subject: [PATCH] Add final HPC result. 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optimizer, which ran for about 20 hours.\n", "- On April 13, I had one noisy Aer simulation that reached **-14.890625**. This one used Rotosolve only (no gate modification) on the expressible Josephson sampler ansatz. It ran for 19.4 hours on a 128 vCPU cloud VM.\n", "- Also on April 13, another simulation reached a similar value: **-14.8203125**. It used Rotoselect (switching to Rotosolve after some iterations) and the Josephson sampler ansatz. It ran for 13.2 hours on that same HPC machine.\n", + "- On April 15, in a final noisy HPC Aer simulation I tried significantly more iterations as well as 3 Josephson sampler layers instead of 2. The final value was unremarkable at **-13.80859375**. However, the graph indicates that perhaps Rotoselect might be able to continue descending if given extensive run time. The algorithm switched to Rotosolve halfway through, which then remained flat around -14.\n", "\n", - "My source code is available at https://github.com/towynlin/kagome-vqe. Sometime soon after OSP22 closes, I plan to contribute various pull requests to qiskit, qiskit nature, qiskit ionq, or others as appropriate.\n", + "![rotoselect-rotosolve noisy simulation](04-15-22-45-34+0000-fig-values.png)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Source Code\n", + "\n", + "This submission is exactly the v1.0.0 release zip file of a github repository made public on April 15.\n", + "\n", + "All source code is available at https://github.com/towynlin/kagome-vqe. Sometime soon after OSP22 closes, I plan to contribute various pull requests to qiskit, qiskit nature, qiskit ionq, or other repositories as appropriate.\n", "\n", - "The easiest way to run my experiment, on guadalupe or anywhere else, is to clone that repo, set up the python 3.10 virtual environment per the readme, and then to run it on the command line, for example:\n", + "The easiest way to run my experiment, on guadalupe or anywhere else, is to clone that repo (or use the submitted zip file, which is the same), set up the python 3.10 virtual environment per the readme, and then to run it on the command line, for example:\n", "\n", "`python -m kagomevqe --backend guadalupe`\n", "\n", diff --git a/kagomevqe/__main__.py b/kagomevqe/__main__.py index 1f2e9d2..9d91bf3 100644 --- a/kagomevqe/__main__.py +++ b/kagomevqe/__main__.py @@ -97,16 +97,18 @@ print("Running on the IonQ simulator") +reps = 2 variant = "original" ham_class = KagomeHamiltonian if args.lattice == "asymmetric": + reps = 3 variant = "fill16" ham_class = Kagome16AsymmetricHamiltonian print("Using asymmetric extended Kagome lattice Hamiltonian") prepend_rotsym = args.ansatz == "combo" ansatz = GuadalupeExpressibleJosephsonSampler( - reps=3, variant=variant, prepend_rotsym=prepend_rotsym + reps=reps, variant=variant, prepend_rotsym=prepend_rotsym ) if args.ansatz == "rotsym": diff --git a/kagomevqe/rotoselect_vqe.py b/kagomevqe/rotoselect_vqe.py index 9a4a813..547c552 100644 --- a/kagomevqe/rotoselect_vqe.py +++ b/kagomevqe/rotoselect_vqe.py @@ -50,7 +50,7 @@ def compute_minimum_eigenvalue( 𝜃 = np.tile(x0, batch_size) iteration = 0 minimized_energy = np.inf - while iteration < self._maxiter / 2: + while iteration < self._maxiter * 0.8: for d in range(D): circuits = self._get_circuit_structure_variants(d) assert len(circuits) == batch_size diff --git a/results.ods b/results.ods index 91312eafc4d9148146610c797e1102b98d979df2..7e4e19d7c69bc6e39bbbfed799bf9271f9eaebf4 100644 GIT binary patch delta 18039 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