diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..53162ae --- /dev/null +++ b/.gitignore @@ -0,0 +1,3 @@ +dev +__pycache__ +.idea \ No newline at end of file diff --git a/Brown_Quantum_Initiative/Brown Quantum Initiative.pdf b/Brown_Quantum_Initiative/Brown Quantum Initiative.pdf new file mode 100644 index 0000000..4da482e Binary files /dev/null and b/Brown_Quantum_Initiative/Brown Quantum Initiative.pdf differ diff --git a/Brown_Quantum_Initiative/circuits/__init__.py b/Brown_Quantum_Initiative/circuits/__init__.py new file mode 100644 index 0000000..90ed1dc --- /dev/null +++ b/Brown_Quantum_Initiative/circuits/__init__.py @@ -0,0 +1,10 @@ +from .cnot_only_circuits import ( + create_deep_cnot_circuit, + create_deep_cnot_circuit_with_mapping, +) +from .qft import ( + append_qft_circuit_with_mapping, + append_inverse_qft_circuit_with_mapping, + append_qft_circuit, + append_inverse_qft_circuit, +) diff --git a/Brown_Quantum_Initiative/circuits/cnot_only_circuits.py b/Brown_Quantum_Initiative/circuits/cnot_only_circuits.py new file mode 100644 index 0000000..e6755a6 --- /dev/null +++ b/Brown_Quantum_Initiative/circuits/cnot_only_circuits.py @@ -0,0 +1,23 @@ +from braket.circuits import Circuit + +QUBITS = 11 + + +def create_deep_cnot_circuit(cnot_depth): + circuit = Circuit() + for i in range(0, QUBITS - 1, 2): + circuit.cnot(i, i + 1) + circuit.i(QUBITS - 1) + for _ in range(cnot_depth - 1): + circuit.cnot(0, 1) + return circuit + + +def create_deep_cnot_circuit_with_mapping(cnot_depth, mapping): + circuit = Circuit() + for i in range(0, QUBITS - 1, 2): + circuit.cnot(mapping[i], mapping[i + 1]) + circuit.i(mapping[QUBITS - 1]) + for _ in range(cnot_depth - 1): + circuit.cnot(mapping[0], mapping[1]) + return circuit diff --git a/Brown_Quantum_Initiative/circuits/qft.py b/Brown_Quantum_Initiative/circuits/qft.py new file mode 100644 index 0000000..b10628b --- /dev/null +++ b/Brown_Quantum_Initiative/circuits/qft.py @@ -0,0 +1,74 @@ +import numpy as np +from braket.circuits import Circuit + + +def append_qft_circuit(circuit, qubits): + # Apply the QFT transformation + for j in range(qubits): + # Apply the Hadamard gate to the j-th qubit + circuit.h(j) + # Apply the controlled phase rotations + for k in range(j + 1, qubits): + # The angle for the controlled rotation + angle = 2 * np.pi / (2 ** (k - j + 1)) + circuit.cphaseshift(k, j, angle) + + # Reverse the order of the qubits + for qubit in range(qubits // 2): + circuit.swap(qubit, qubits - qubit - 1) + + return circuit + + +def append_qft_circuit_with_mapping(circuit, qubits, mapping): + # Apply the QFT transformation + for j in range(qubits): + # Apply the Hadamard gate to the j-th qubit + circuit.h(mapping[j]) + # Apply the controlled phase rotations + for k in range(j + 1, qubits): + # The angle for the controlled rotation + angle = 2 * np.pi / (2 ** (k - j + 1)) + circuit.cphaseshift(mapping[k], mapping[j], angle) + + # Reverse the order of the qubits + for qubit in range(qubits // 2): + circuit.swap(mapping[qubit], mapping[qubits - qubit - 1]) + + return circuit + + +def append_inverse_qft_circuit(circuit: Circuit, qubits): + # Reverse the order of the qubits first + for qubit in range(qubits // 2): + circuit.swap(qubit, qubits - qubit - 1) + + # Apply the inverse QFT transformation + for j in range(qubits - 1, -1, -1): + # Apply the controlled phase rotations in reverse order + for k in range(qubits - 1, j, -1): + # The angle for the controlled rotation, with a negative sign for the inverse + angle = -2 * np.pi / (2 ** (k - j + 1)) + circuit.cphaseshift(k, j, angle) + # Apply the Hadamard gate to the j-th qubit + circuit.h(j) + + return circuit + + +def append_inverse_qft_circuit_with_mapping(circuit: Circuit, qubits, mapping: list): + # Reverse the order of the qubits first + for qubit in range(qubits // 2): + circuit.swap(mapping[qubit], mapping[qubits - qubit - 1]) + + # Apply the inverse QFT transformation + for j in range(qubits - 1, -1, -1): + # Apply the controlled phase rotations in reverse order + for k in range(qubits - 1, j, -1): + # The angle for the controlled rotation, with a negative sign for the inverse + angle = -2 * np.pi / (2 ** (k - j + 1)) + circuit.cphaseshift(mapping[k], mapping[j], angle) + # Apply the Hadamard gate to the j-th qubit + circuit.h(mapping[j]) + + return circuit diff --git a/Brown_Quantum_Initiative/deep_cnot_circuit.py b/Brown_Quantum_Initiative/deep_cnot_circuit.py new file mode 100644 index 0000000..9a30bab --- /dev/null +++ b/Brown_Quantum_Initiative/deep_cnot_circuit.py @@ -0,0 +1,66 @@ +from mapping import gather_stats, create_logical_to_physical_mapping +from noise_model import noise_model +from braket.circuits import Circuit, Observable, Gate +from braket.devices import LocalSimulator +from circuits import ( + create_deep_cnot_circuit, + create_deep_cnot_circuit_with_mapping, + append_qft_circuit_with_mapping, + append_inverse_qft_circuit, + append_inverse_qft_circuit_with_mapping, + append_qft_circuit, +) +from edge_coloring import color_edges_of_complete_graph +import numpy as np +import matplotlib.pyplot as plt + +QUBITS = 11 + + +if __name__ == "__main__": + device = LocalSimulator("braket_dm") + run_shots = 1000 + nm = noise_model() + cnot_depth_range = np.arange(10, 20, 4) + + deep_cnot_success_rate = [] + deep_cnot_remapped_success_rate = [] + + for cnot_depth in cnot_depth_range: + deep_cnot_circuit = create_deep_cnot_circuit(cnot_depth=cnot_depth) + deep_cnot_circuit = nm.apply(deep_cnot_circuit) + result = ( + device.run(deep_cnot_circuit, shots=run_shots).result().measurement_counts + ) + deep_cnot_success_rate.append(result["00000000000"] / run_shots) + + stats = gather_stats(nm, device, shots=1000) + logical_to_physical_mapping = create_logical_to_physical_mapping( + circuit=deep_cnot_circuit, stats=stats + ) + deep_cnot_circuit_with_remapping = create_deep_cnot_circuit_with_mapping( + cnot_depth=cnot_depth, mapping=logical_to_physical_mapping + ) + deep_cnot_circuit_with_remapping = nm.apply(deep_cnot_circuit_with_remapping) + result = ( + device.run(deep_cnot_circuit_with_remapping, shots=run_shots) + .result() + .measurement_counts + ) + deep_cnot_remapped_success_rate.append(result["00000000000"] / run_shots) + + fig, ax = plt.subplots(figsize=(8, 5), dpi=96) + plt.plot(cnot_depth_range, deep_cnot_success_rate, label="without remapping") + plt.plot(cnot_depth_range, deep_cnot_remapped_success_rate, label="with remapping") + + plt.xlabel("number of CNOT gates") + plt.ylabel("success rate") + plt.title(f"Deep CNOT circuit success rate") + ax.legend( + loc="upper right", + fancybox=True, + shadow=True, + ncol=2, + ) + + plt.show() diff --git a/Brown_Quantum_Initiative/deep_qft.py b/Brown_Quantum_Initiative/deep_qft.py new file mode 100644 index 0000000..ad5040f --- /dev/null +++ b/Brown_Quantum_Initiative/deep_qft.py @@ -0,0 +1,48 @@ +from mapping import gather_stats, create_logical_to_physical_mapping +from noise_model import noise_model +from braket.circuits import Circuit +from braket.devices import LocalSimulator +from circuits import ( + append_qft_circuit_with_mapping, + append_inverse_qft_circuit, + append_inverse_qft_circuit_with_mapping, + append_qft_circuit, +) + +QUBITS = 11 + +if __name__ == "__main__": + device = LocalSimulator("braket_dm") + run_shots = 10000 + qft_depth = 2 + nm = noise_model() + + qft_circuit = Circuit() + for _ in range(qft_depth): + qft_circuit = append_qft_circuit(qubits=QUBITS, circuit=qft_circuit) + qft_circuit = append_inverse_qft_circuit(qubits=QUBITS, circuit=qft_circuit) + qft_circuit = nm.apply(qft_circuit) + result = device.run(qft_circuit, shots=run_shots).result().measurement_counts + print(result) + + qft_circuit_remapped = Circuit() + stats = gather_stats(nm, device, shots=1000) + logical_to_physical_mapping = create_logical_to_physical_mapping( + circuit=qft_circuit, stats=stats + ) + for _ in range(qft_depth): + qft_circuit_remapped = append_qft_circuit_with_mapping( + qubits=QUBITS, + circuit=qft_circuit_remapped, + mapping=logical_to_physical_mapping, + ) + qft_circuit_remapped = append_inverse_qft_circuit_with_mapping( + qubits=QUBITS, + circuit=qft_circuit_remapped, + mapping=logical_to_physical_mapping, + ) + qft_circuit_remapped = nm.apply(qft_circuit_remapped) + result = ( + device.run(qft_circuit_remapped, shots=run_shots).result().measurement_counts + ) + print(result) diff --git a/Brown_Quantum_Initiative/edge_coloring.py b/Brown_Quantum_Initiative/edge_coloring.py new file mode 100644 index 0000000..acd4442 --- /dev/null +++ b/Brown_Quantum_Initiative/edge_coloring.py @@ -0,0 +1,19 @@ +def color_edges_of_complete_graph(n): + # Determine the number of colors needed (chromatic index) + num_colors = n if n % 2 == 1 else n - 1 + + # Initialize the colors for each edge + # edge_colors = {} + colors_to_edges = dict() + for color in range(n): + colors_to_edges[color] = [] + + # Assign colors to edges + for i in range(n): + for j in range(i + 1, n): + # For each edge (i, j), assign a color based on a greedy approach + # We use the modulo operator to cycle through colors + color = (i + j) % num_colors + colors_to_edges[color].append((i, j)) + + return colors_to_edges diff --git a/Brown_Quantum_Initiative/mapping.py b/Brown_Quantum_Initiative/mapping.py new file mode 100644 index 0000000..e9527a2 --- /dev/null +++ b/Brown_Quantum_Initiative/mapping.py @@ -0,0 +1,205 @@ +from braket.circuits import Circuit + +from edge_coloring import color_edges_of_complete_graph + +QUBITS = 11 + + +def init_noise_test_circuits(noise_model) -> list[Circuit]: + edge_colorings = color_edges_of_complete_graph(QUBITS) + circuits = [] + for edge_coloring in edge_colorings.values(): + circuit = Circuit() + for qi, qj in edge_coloring: + circuit.h(qi).cnot(qi, qj) + qubits_used = sorted(circuit.qubits) + for qi in range(len(qubits_used)): + if int(qubits_used[qi]) != qi: + circuit.x(qi) + break + noisy_circuit = noise_model.apply(circuit) + circuits.append(noisy_circuit) + return circuits + + +def fidelity_function(pair_count: dict): + min_00_11 = min(pair_count["00"], pair_count["11"]) + max_00_11 = max(pair_count["00"], pair_count["11"]) + count_00_11 = min_00_11 + max_00_11 + total_count = ( + pair_count["00"] + pair_count["11"] + pair_count["10"] + pair_count["01"] + ) + return min_00_11 / max_00_11 * count_00_11 / total_count + + +def calculate_2q_fidelity_dict(pair_counts: dict[tuple : dict[str:int]]) -> dict: + fidelity = dict() + for pair in pair_counts: + fidelity[pair] = fidelity_function(pair_count=pair_counts[pair]) + return fidelity + + +def fidelity_function_single_gate(single_qubit_count): + count_0, count_1 = single_qubit_count["0"], single_qubit_count["1"] + return count_1 / (count_0 + count_1) + + +def calculate_1q_fidelity_dict( + single_qubit_counts: dict[tuple : dict[str:int]], +) -> dict: + fidelity = dict() + for qubit in single_qubit_counts: + fidelity[qubit] = fidelity_function_single_gate( + single_qubit_count=single_qubit_counts[qubit] + ) + return fidelity + + +def new_fidelity_2qubit_gates(counts, circuit) -> dict: + # Initialize a dictionary to keep track of CNOT occurrences + pair_counts = dict() + # Iterate through the operations in the circuit + for instruction in circuit.instructions: + # Check if the operation is a CNOT gate + if instruction.operator.name == "CNot": + # Get the qubits involved in the CNOT gate + qubits = tuple(sorted([int(qubit) for qubit in instruction.target])) + pair_counts[qubits] = {"00": 0, "11": 0, "01": 0, "10": 0} + + for count in counts.keys(): + for pair in pair_counts.keys(): + qi, qj = pair + bi, bj = count[qi], count[qj] + pair_counts[pair][f"{bi}{bj}"] += 1 + + new_fidelity = calculate_2q_fidelity_dict(pair_counts) + return new_fidelity + + +def new_fidelity_1qubit_gates(counts, circuit): + # Initialize a dictionary to keep track of CNOT occurrences + single_qubit_counts = dict() + # Iterate through the operations in the circuit + for instruction in circuit.instructions: + # Check if the operation is a CNOT gate + if instruction.operator.name == "X": + # Get the qubits involved in the CNOT gate + qubit = int(instruction.target[0]) + single_qubit_counts[qubit] = {"0": 0, "1": 0} + + for count in counts.keys(): + for qi in single_qubit_counts.keys(): + bi = count[qi] + single_qubit_counts[qi][f"{bi}"] += 1 + + new_fidelity = calculate_1q_fidelity_dict(single_qubit_counts=single_qubit_counts) + return new_fidelity + + +def gather_stats(noise_model, running_device, shots) -> dict: + circuits = init_noise_test_circuits(noise_model) + fidelity_2qubit_gates = dict() + fidelity_1qubit_gates = dict() + for circuit in circuits: + counts = running_device.run(circuit, shots=shots).result().measurement_counts + dict.update(fidelity_2qubit_gates, new_fidelity_2qubit_gates(counts, circuit)) + dict.update(fidelity_1qubit_gates, new_fidelity_1qubit_gates(counts, circuit)) + return fidelity_2qubit_gates + + +def calculate_counts_of_2q_gates(circuit): + counts_2q = {} + + # Iterate through the operations in the circuit + for instruction in circuit.instructions: + # Check if the operation is a CNOT gate + if instruction.operator.name in ["CNot", "CPhaseShift", "Swap"]: + # Get the qubits involved in the CNOT gate + qubits = tuple(sorted([int(qubit) for qubit in instruction.target])) + # Increment the count for this pair of qubits in the dictionary + if qubits in counts_2q: + counts_2q[qubits] += 1 + else: + counts_2q[qubits] = 1 + + counts_2q_items = sorted(counts_2q.items(), key=lambda x: x[1], reverse=True) + return counts_2q_items + + +def find_missing_number(numbers): + # Calculate the expected sum of the first 11 natural numbers + n = QUBITS - 1 + expected_sum = n * (n + 1) // 2 + + # Calculate the actual sum of the numbers in the list + actual_sum = sum(numbers) + + # The missing number is the difference between the expected sum and the actual sum + missing_number = expected_sum - actual_sum + return missing_number + + +def create_logical_to_physical_mapping(circuit, stats) -> dict: + counts_2q = calculate_counts_of_2q_gates(circuit) + # Sort the logical qubit interactions in descending order of interaction frequency + + # Sort the CNOT fidelities in descending order + sorted_cnot_fidelities = sorted(stats.items(), key=lambda x: x[1], reverse=True) + + # Initialize the mapping of logical qubits to physical qubits + mapping = {} + + # Iterate over the sorted logical interactions and map them to the highest fidelity physical pairs + for logical_pair, _ in counts_2q: + for physical_pair, fidelity in sorted_cnot_fidelities: + if all(q not in mapping for q in logical_pair) and all( + p not in mapping.values() for p in physical_pair + ): + # Map logical qubits to physical qubits + mapping[logical_pair[0]] = physical_pair[0] + mapping[logical_pair[1]] = physical_pair[1] + break # Move to the next logical pair after a successful mapping + + logical = find_missing_number(mapping.keys()) + physical = find_missing_number(mapping.values()) + mapping[logical] = physical + return [mapping[position] for position in range(QUBITS)] + + +# def generate_indices(K=11): +# upper_indices = [] +# for i in range(K): +# for j in range(K): +# if i < j: +# upper_indices.append((i, j)) +# return upper_indices + + +# def create_logical_to_physical_mapping(circuit, stats, num_trials=10000, N=11) -> tuple: +# """ +# NOTE: this function assumes the counts dict has (i,j) AND (j,i) as keys +# """ +# counts_2q = calculate_counts_of_2q_gates(circuit) +# permutations = list( +# itertools.permutations(np.arange(N)) +# ) # may want to run this outside of function +# permutation_index = np.arange(len(permutations)) +# +# # find "best" permutation: +# maximal_S = 0 +# indices = generate_indices() +# best_permutation_index = None +# dict_counts_2q = dict(counts_2q) +# for i in range(num_trials): +# p_i = np.random.choice(permutation_index) +# s = 0 +# for i, j in indices: +# ii, jj = permutations[p_i][i], permutations[p_i][j] +# if ii < jj: +# s += stats[(i, j)] * dict_counts_2q[(ii, jj)] +# else: +# s += stats[(i, j)] * dict_counts_2q[(jj, ii)] +# if s > maximal_S: # find largest sum over permutation space +# maximal_S = s +# best_permutation_index = p_i +# return permutations[best_permutation_index] diff --git a/Brown_Quantum_Initiative/noise_model.py b/Brown_Quantum_Initiative/noise_model.py new file mode 100644 index 0000000..97671d2 --- /dev/null +++ b/Brown_Quantum_Initiative/noise_model.py @@ -0,0 +1,48 @@ +from braket.circuits.noise_model import ( + GateCriteria, + NoiseModel, + ObservableCriteria, +) +from braket.circuits import Circuit, Observable, Gate +from braket.circuits.noises import ( + BitFlip, + Depolarizing, + TwoQubitDepolarizing, +) +from braket.devices import LocalSimulator +import numpy as np +import math + + +def noise_model(): + rng = np.random.default_rng() + m = NoiseModel() + + two_q_depo_mu = 1 - 0.9311 + two_q_depo_sigma = 0.005 + bf_mu = 1 - 0.99752 + bf_sigma = 0.0015 + one_q_depo_mu = 1 - 0.9981 + one_q_depo_sigma = 0.00017 + for qi in range(11): + z_bf_prob = bf_mu + bf_sigma * rng.standard_normal() + z_bf_prob = 0.0 if z_bf_prob < 0.0 else z_bf_prob + + # bf_prob = bf_mu + bf_sigma * rng.standard_normal() + # bf_prob = 0.0 if bf_prob < 0.0 else bf_prob + + one_q_depo_prob = one_q_depo_mu + one_q_depo_sigma * rng.standard_normal() + one_q_depo_prob = 0.0 if one_q_depo_prob < 0.0 else one_q_depo_prob + + m.add_noise(BitFlip(z_bf_prob), ObservableCriteria(observables=Observable.Z, qubits=qi)) + # m.add_noise(BitFlip(bf_prob), ObservableCriteria(qubits=qi)) + + m.add_noise(Depolarizing(one_q_depo_prob), GateCriteria(qubits=qi)) + for qj in range(11): + if not qj == qi: + two_q_depo_prob = two_q_depo_mu + two_q_depo_sigma * rng.standard_normal() + two_q_depo_prob = 0.0 if two_q_depo_prob < 0.0 else two_q_depo_prob + + m.add_noise(TwoQubitDepolarizing(two_q_depo_prob), + GateCriteria(gates=[Gate.CNot, Gate.Swap, Gate.CPhaseShift], qubits=[qi, qj])) + return m \ No newline at end of file diff --git a/Brown_Quantum_Initiative/poetry.lock b/Brown_Quantum_Initiative/poetry.lock new file mode 100644 index 0000000..b719a82 --- /dev/null +++ b/Brown_Quantum_Initiative/poetry.lock @@ -0,0 +1,1437 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + +[[package]] +name = "amazon-braket-default-simulator" +version = "1.20.1" +description = "An open source quantum circuit simulator to be run locally with the Amazon Braket SDK" +optional = false +python-versions = ">= 3.9" +files = [ + {file = "amazon-braket-default-simulator-1.20.1.tar.gz", hash = "sha256:3b1da8b633a38c7306fca8106d62e770925f49b9ab76361fcf42066fd8429aec"}, + {file = "amazon_braket_default_simulator-1.20.1-py3-none-any.whl", hash = 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b/Brown_Quantum_Initiative/pyproject.toml new file mode 100644 index 0000000..965cd1f --- /dev/null +++ b/Brown_Quantum_Initiative/pyproject.toml @@ -0,0 +1,18 @@ +[tool.poetry] +name = "2024-aws" +version = "0.1.0" +description = "" +authors = ["Your Name "] +readme = "README.md" + +[tool.poetry.dependencies] +python = "^3.11" +amazon-braket-sdk = "^1.68.2" +qiskit = "^0.46.0" +qiskit-ionq = "^0.4.7" +matplotlib = "^3.8.2" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/Brown_Quantum_Initiative/qbraid_job_submission/ionqnativecircuit.py b/Brown_Quantum_Initiative/qbraid_job_submission/ionqnativecircuit.py new file mode 100644 index 0000000..ed7f183 --- /dev/null +++ b/Brown_Quantum_Initiative/qbraid_job_submission/ionqnativecircuit.py @@ -0,0 +1,84 @@ +# Taken from the AWS tutorial, we added methods such as CNOT and identity + +import numpy as np +from braket.circuits import Circuit, Gate + + +class IonQNativeCircuit(Circuit): + pi = np.pi + + def __repr__(self) -> str: + if not self.result_types: + return f"IonQNativeCircuit('instructions': {self.instructions})" + else: + return ( + f"IonQNativeCircuit('instructions': {self.instructions}" + + f", 'result_types': {self.result_types})" + ) + + def add_instruction(self, instruction, target=None, target_mapping=None): + # Validate that only native gates are added to the circuit + + # qubit validation + max_num_qubits = 25 # maximum number of qubits on Aria + qubits = list(instruction.target) + for qubit in qubits: + if not (0 <= qubit < max_num_qubits): + raise ValueError( + f"Qubit {qubit} is not in the valid range [0, {max_num_qubits}]." + ) + + # gate validation + valid_gate_names = {Gate.GPi, Gate.GPi2, Gate.MS} + gate_name = instruction.operator + if not any(isinstance(gate_name, gate_cls) for gate_cls in valid_gate_names): + raise ValueError(f"Gate {gate_name} is not in the valid gates.") + + return super().add_instruction(instruction, target, target_mapping) + + # universal single-qubit rotation decomposition + def unitary(self, qubit, a, b, c): + return self.gpi2(qubit, a).gpi(qubit, b).gpi2(qubit, c) + + def x(self, qubit): + return self.gpi(qubit, 0) + + def i(self, qubit): + return self.gpi(qubit, 0).gpi(qubit, 0) + + def y(self, qubit): + return self.gpi(qubit, np.pi / 2) + + def z(self, qubit): + return self.gpi(qubit, np.pi).gpi(qubit, np.pi / 2) + + def h(self, qubit): + return self.gpi2(qubit, np.pi / 2).gpi(qubit, 0) + + def t(self, qubit): + return self.unitary(qubit, 11 * np.pi / 8, np.pi / 2, -3 * np.pi / 8) + + def s(self, qubit): + return self.unitary(qubit, 5 * np.pi / 4, np.pi / 2, -pi / 4) + + def rx(self, qubit, theta): + return self.unitary(qubit, np.pi / 2, theta / 2 + np.pi / 2, np.pi / 2) + + def ry(self, qubit, theta): + return self.unitary(qubit, np.pi, theta / 2 + np.pi, np.pi) + + def rz(self, qubit, theta): + return self.gpi(qubit, 0).gpi(qubit, theta / 2) + + def cnott(self, qubit0, qubit1): + return ( + self.ry(qubit0, np.pi / 2) + .ms(qubit0, qubit1, 0, 0) + .rx(qubit0, -np.pi / 2) + .rx(qubit1, -np.pi / 2) + .ry(qubit0, -np.pi / 2) + ) + + # add friendly printing + def to_unitary(self): + return np.round(super().to_unitary(), 5)