Hugging Face's logo

Tatopenn
/
dense-Evolution

Model card Files
xet
 Community
dense-Evolution
File size: 18,674 Bytes
d2486ac
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
"""
QASM circuit library and MPS-engine gate dispatch.

Split out of the former monolithic dashboard_core.py (Phase 1 of the
dashboard refactor) -- pure move, no behavior change.
"""

import numpy as np

import dense_evolution.gates as _mps_gates_module
from dense_evolution.mps import MPSSimulator


def _run_on_mps(comandi_beast_mode, n_qubits, max_bond=64, jsd_budget=1e-5):
    """Executes comandi_beast_mode (the same [name, *args] list the dense
    beast-mode path consumes) through MPSSimulator, gate by gate, via
    dense_evolution.gates' GATES/PARAMETRIC_GATES tables (converted from
    JAX to numpy -- MPSSimulator's einsum core is plain numpy).

    u2/u3 are skipped with a warning: comandi_beast_mode only carries a
    single parameter slot per gate (see the parsing loop in
    _run_simulation_body), which can't represent u2's 2 or u3's 3
    independent parameters -- the same pre-existing limitation the dense
    beast-mode path already has for these two gates, not something new
    introduced here."""
    mps = MPSSimulator(n_qubits=n_qubits, max_bond=max_bond, jsd_budget=jsd_budget)
    for cmd in comandi_beast_mode:
        nome_porta = cmd[0]
        if nome_porta in ('h', 'x', 'y', 'z', 's', 'sdg', 't', 'tdg'):
            gate = np.array(_mps_gates_module.GATES[nome_porta])
            mps.apply_gate_1q(gate, cmd[1])
        elif nome_porta in ('rx', 'ry', 'rz', 'u1', 'p'):
            gate = np.array(_mps_gates_module.PARAMETRIC_GATES[nome_porta](cmd[2]))
            mps.apply_gate_1q(gate, cmd[1])
        elif nome_porta in ('u2', 'u3'):
            print(f"Warning: motore MPS salta la porta '{nome_porta}' (richiede piu' "
                  "di un parametro, non rappresentabile nel formato beast-mode corrente).")
        elif nome_porta == 'cx':
            mps.apply_cx(cmd[1], cmd[2])
        elif nome_porta == 'cz':
            mps.apply_cz(cmd[1], cmd[2])
        elif nome_porta == 'swap':
            mps.apply_swap(cmd[1], cmd[2])
        elif nome_porta == 'cy':
            gate = np.array(_mps_gates_module.GATES['cy']).reshape(2, 2, 2, 2)
            mps.apply_gate_2q(gate, cmd[1], cmd[2])
        elif nome_porta in ('cp', 'crz'):
            gate = np.array(_mps_gates_module.PARAMETRIC_GATES[nome_porta](cmd[3])).reshape(2, 2, 2, 2)
            mps.apply_gate_2q(gate, cmd[1], cmd[2])
        elif nome_porta in ('ccx', 'toffoli'):
            mps.apply_ccx(cmd[1], cmd[2], cmd[3])
        else:
            print(f"Warning: motore MPS salta la porta non gestita: {nome_porta}")
    return mps


QASM_LIBRARY = {
    'Bell |Φ+⟩': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[2]; creg c[2]; h q[0]; cx q[0],q[1]; measure q -> c;',
    'QFT 4 qubit': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; ry(pi/4) q[0]; ry(pi/4) q[2]; h q[3]; cp(pi/2) q[2],q[3]; cp(pi/4) q[1],q[3]; cp(pi/8) q[0],q[3]; h q[2]; cp(pi/2) q[1],q[2]; cp(pi/4) q[0],q[2]; h q[1]; cp(pi/2) q[0],q[1]; h q[0]; swap q[0],q[3]; swap q[1],q[2]; barrier q; measure q -> c;',
    'Simon_Algorithm_4q_s11':
    'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; '
    '// Simon: f(x)=f(x+11), q[0:1]=input, q[2:3]=output\n'
    'h q[0]; h q[1]; barrier q; '
    'cx q[0],q[2]; cx q[1],q[3]; cx q[0],q[3]; barrier q; '
    'h q[0]; h q[1]; '
    'measure q[0] -> c[0]; measure q[1] -> c[1]; '
    'measure q[2] -> c[2]; measure q[3] -> c[3];',
    'Grover_3q_Oracle_111':
    'OPENQASM 2.0; include "qelib1.inc"; qreg q[3]; creg c[3]; '
    '// Init\n'
    'h q[0]; h q[1]; h q[2]; barrier q; '
    '// Oracle CCZ on |111>\n'
    'h q[2]; ccx q[0],q[1],q[2]; h q[2]; barrier q; '
    '// Diffuser\n'
    'h q[0]; h q[1]; h q[2]; '
    'x q[0]; x q[1]; x q[2]; '
    'h q[2]; ccx q[0],q[1],q[2]; h q[2]; '
    'x q[0]; x q[1]; x q[2]; '
    'h q[0]; h q[1]; h q[2]; '
    'barrier q; measure q -> c;',
    'Dicke_State_D42':
    'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; '
    '// Dicke |D(4,2)> approx via SCS\n'
    'h q[0]; h q[1]; h q[2]; h q[3]; '
    'cx q[0],q[1]; cx q[2],q[3]; '
    'rz(1.5708) q[1]; rz(1.5708) q[3]; '
    'cx q[0],q[1]; cx q[2],q[3]; '
    'ry(0.9553) q[0]; ry(0.9553) q[2]; '
    'cx q[0],q[2]; '
    'barrier q; measure q -> c;',
    'MultiControlled_Z_5q':
    'OPENQASM 2.0; include "qelib1.inc"; qreg q[5]; creg c[5]; '
    '// 4-controlled Z via T-gate decomposition\n'
    'h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; '
    'ccx q[0],q[1],q[3]; '
    'ccx q[2],q[3],q[4]; '
    't q[0]; t q[1]; t q[2]; tdg q[3]; tdg q[4]; '
    'cx q[0],q[1]; cx q[2],q[3]; '
    'tdg q[1]; t q[3]; '
    'cx q[0],q[1]; cx q[2],q[3]; '
    'ccx q[1],q[2],q[4]; '
    'h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; '
    'barrier q; measure q -> c;',
    'Anyonic_Braiding_Fibonacci_6q':
    'OPENQASM 2.0; include "qelib1.inc"; qreg q[6]; creg c[6]; '
    '// Fibonacci anyon braiding: sigma_1 sigma_2 sequence\n'
    'h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; h q[5]; '
    'cz q[0],q[1]; ry(1.2566) q[1]; '
    'cz q[1],q[2]; ry(1.2566) q[2]; '
    'cz q[0],q[2]; ry(0.9425) q[0]; '
    'cz q[2],q[3]; ry(1.2566) q[3]; '
    'cz q[3],q[4]; ry(1.2566) q[4]; '
    'cz q[2],q[4]; '
    'rz(3.0718) q[1]; rz(3.0718) q[3]; '
    'cx q[0],q[5]; cx q[2],q[5]; cx q[4],q[5]; '
    'rz(0.7) q[0]; rz(0.7) q[2]; rz(0.7) q[4]; '
    'barrier q; measure q -> c;',
    'Peptide_Furin_RRAR_8q':
    'OPENQASM 2.0; include "qelib1.inc"; qreg q[8]; creg c[8]; '
    '// SARS-CoV-2 furin site: RRAR|S PDF-encoded\n'
    'ry(0.8727) q[0]; ry(0.5236) q[1]; ry(0.8727) q[2]; ry(0.8727) q[3]; '
    'ry(0.3927) q[4]; ry(0.2094) q[5]; ry(0.7854) q[6]; ry(0.4712) q[7]; '
    'rz(1.9106) q[0]; rz(1.9106) q[1]; rz(1.9106) q[2]; rz(1.9106) q[3]; '
    'rz(1.9106) q[4]; rz(1.9106) q[5]; rz(1.9106) q[6]; rz(1.9106) q[7]; '
    'cx q[0],q[1]; cx q[2],q[3]; cx q[4],q[5]; cx q[6],q[7]; '
    'cx q[1],q[2]; cx q[3],q[4]; cx q[5],q[6]; '
    'rz(0.7) q[0]; rz(0.7) q[1]; rz(0.7) q[2]; rz(0.7) q[3]; '
    'rz(0.7) q[4]; rz(0.7) q[5]; rz(0.7) q[6]; rz(0.7) q[7]; '
    'barrier q; measure q -> c;',
    'Grover Motif Search (0011)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; h q[0]; h q[1]; h q[2]; h q[3]; x q[2]; x q[3]; h q[3]; ccx q[0],q[2],q[3]; cx q[1],q[3]; h q[3]; x q[2]; x q[3]; h q[0]; h q[1]; h q[2]; h q[3]; x q[0]; x q[1]; x q[2]; x q[3]; h q[3]; ccx q[0],q[1],q[3]; cx q[2],q[3]; h q[3]; x q[0]; x q[1]; x q[2]; x q[3]; h q[0]; h q[1]; h q[2]; h q[3]; measure q -> c;',
    'Quantum Neural Neuron': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; ry(pi/4) q[0]; ry(pi/4) q[1]; ry(pi/4) q[2]; ry(pi/4) q[3]; barrier q; cx q[0],q[1]; cx q[1],q[2]; cx q[2],q[3]; u3(0.1,0,0) q[0]; u3(0.5,0,0) q[1]; u3(-0.3,0,0) q[2]; u3(0.8,0,0) q[3]; measure q -> c;',
    'Approx QFT (Optimized)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; h q[3]; cp(pi/2) q[2],q[3]; cp(pi/4) q[1],q[3]; h q[2]; cp(pi/2) q[1],q[2]; h q[1]; cp(pi/2) q[0],q[1]; h q[0]; barrier q; measure q -> c;',
    'Quantum Neural Layer': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; rz(pi/4) q[0]; rz(pi/4) q[1]; rz(pi/4) q[2]; rz(pi/4) q[3]; barrier q; cx q[0],q[1]; cx q[1],q[2]; cx q[2],q[3]; cx q[3],q[0]; ry(0.5) q[0]; ry(0.5) q[1]; ry(0.5) q[2]; ry(0.5) q[3]; measure q -> c;',
    'Quantum Game Theory': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[2]; creg c[2]; cx q[0],q[1]; h q[0]; x q[1]; u3(pi/2,0,pi/2) q[0]; u3(pi/2,0,pi/2) q[1]; h q[0]; x q[1]; cx q[0],q[1]; measure q -> c;',
    'Quantum Teleportation': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[3]; creg c[2]; h q[1]; cx q[1],q[2]; cx q[0],q[1]; h q[0]; measure q[0] -> c[0]; measure q[1] -> c[1]; x q[2] if(c[1]==1); z q[2] if(c[0]==1);',
    'Pixel Encoder (Phase)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[2]; creg c[1]; h q[0]; h q[1]; cu1(pi/4) q[0],q[1]; measure q[1] -> c[0];',
    'Hardware Stress Test': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[1]; creg c[1]; h q[0]; barrier q[0]; id q[0]; id q[0]; id q[0]; measure q[0] -> c[0];',
    'Universal Swap Test (3q)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[3]; creg c[1]; h q[0]; cswap q[0],q[1],q[2]; h q[0]; measure q[0] -> c[0];',
    'Bio-Sequence Matcher (8q)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[8]; creg c[8]; h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; h q[5]; h q[6]; h q[7]; cx q[0],q[4]; cx q[1],q[5]; cp(pi/4) q[0],q[4]; cp(pi/2) q[1],q[5]; cx q[2],q[6]; cx q[3],q[7]; cp(pi/8) q[2],q[6]; x q[4]; x q[5]; x q[6]; x q[7]; h q[7]; ccx q[4],q[5],q[7]; ccx q[6],q[7],q[3]; h q[7]; x q[4]; x q[5]; x q[6]; x q[7]; h q[0]; h q[1]; h q[2]; h q[3]; x q[0]; x q[1]; x q[2]; x q[3]; h q[3]; ccx q[0],q[1],q[3]; h q[3]; x q[0]; x q[1]; x q[2]; x q[3]; h q[0]; h q[1]; h q[2]; h q[3]; measure q -> c;',
    'Grover AA Lys Search (K=01011)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[5]; creg c[5]; h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; x q[0]; x q[2]; x q[4]; h q[4]; ccx q[0],q[1],q[4]; cx q[2],q[4]; cx q[3],q[4]; h q[4]; x q[0]; x q[2]; x q[4]; h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; x q[0]; x q[1]; x q[2]; x q[3]; x q[4]; h q[4]; ccx q[0],q[2],q[4]; cx q[1],q[4]; cx q[3],q[4]; h q[4]; x q[0]; x q[1]; x q[2]; x q[3]; x q[4]; h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; measure q -> c;',
    'Alpha-helix Detector (5q)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[5]; creg c[5]; h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; cx q[0],q[2]; cx q[1],q[3]; rz(0.5) q[2]; rz(-0.25) q[3]; cx q[0],q[2]; cx q[1],q[3]; cx q[2],q[4]; cx q[3],q[4]; rz(0.785) q[4]; cx q[3],q[4]; cx q[2],q[4]; h q[0]; h q[1]; h q[2]; h q[3]; measure q -> c;',
    'HP Lattice 5-mer (10q)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[10]; creg c[10]; h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; h q[5]; h q[6]; h q[7]; h q[8]; h q[9]; cx q[0],q[2]; cx q[1],q[3]; cx q[4],q[6]; cx q[5],q[7]; rz(0.785) q[2]; rz(0.392) q[3]; rz(-0.392) q[6]; rz(-0.785) q[7]; cx q[0],q[2]; cx q[1],q[3]; cx q[4],q[6]; cx q[5],q[7]; cx q[2],q[4]; cx q[3],q[5]; cx q[6],q[8]; cx q[7],q[9]; rz(0.5) q[4]; rz(-0.5) q[5]; rz(0.25) q[8]; rz(-0.25) q[9]; cx q[2],q[4]; cx q[3],q[5]; cx q[6],q[8]; cx q[7],q[9]; measure q -> c;',
    'VQE BeH2 (8q-UCCSD)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[8]; creg c[8]; x q[0]; x q[1]; x q[2]; h q[0]; h q[1]; h q[2]; h q[3]; cx q[0],q[1]; cx q[1],q[2]; cx q[2],q[3]; cx q[3],q[4]; rz(0.18) q[4]; rz(0.09) q[6]; cx q[3],q[4]; cx q[2],q[3]; cx q[1],q[2]; cx q[0],q[1]; h q[4]; cx q[4],q[5]; cx q[5],q[6]; cx q[6],q[7]; rz(-0.18) q[7]; cx q[6],q[7]; cx q[5],q[6]; cx q[4],q[5]; h q[4]; measure q -> c;',
    'Bernstein-Vazirani (101)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; h q[0]; h q[1]; h q[2]; x q[3]; h q[3]; cx q[0],q[3]; cx q[2],q[3]; h q[0]; h q[1]; h q[2]; measure q -> c;',
    'Deutsch-Jozsa bilanciata': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[3]; creg c[3]; h q[0]; h q[1]; x q[2]; h q[2]; cx q[0],q[2]; cx q[1],q[2]; h q[0]; h q[1]; measure q -> c;',
    'Toffoli (CCX)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[3]; creg c[3]; h q[2]; cx q[1],q[2]; tdg q[2]; cx q[0],q[2]; t q[2]; cx q[1],q[2]; tdg q[2]; cx q[0],q[2]; t q[1]; t q[2]; h q[2]; cx q[0],q[1]; t q[0]; tdg q[1]; cx q[0],q[1]; measure q -> c;',
    'Grover 3q target 101': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[3]; creg c[3]; h q[0]; h q[1]; h q[2]; x q[0]; x q[1]; h q[2]; ccx q[0],q[1],q[2]; h q[2]; x q[0]; x q[1]; h q[0]; h q[1]; x q[0]; x q[1]; h q[1]; cx q[0],q[1]; h q[1]; x q[0]; x q[1]; h q[0]; h q[1]; measure q->c;',
    'VQE ansatz H₂': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[2]; creg c[2]; ry(0.5) q[0]; rx(0.5) q[1]; cx q[0],q[1]; rz(0.2) q[1]; cx q[0],q[1]; ry(0.5) q[0]; rx(0.5) q[1]; measure q -> c;',
    'Adder 2-bit': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[5]; creg c[5]; cx q[0],q[3]; cx q[1],q[3]; ccx q[0],q[1],q[4]; cx q[2],q[4]; cx q[3],q[4]; measure q -> c;',
    'Quantum Supremacy (toy)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[5]; creg c[5]; h q[0]; h q[1]; h q[2]; h q[3]; h q[4]; cx q[0],q[1]; cx q[1],q[2]; cx q[2],q[3]; cx q[3],q[4]; rx(pi/4) q[0]; ry(pi/4) q[1]; rz(pi/4) q[2]; rx(pi/4) q[3]; ry(pi/4) q[4]; cx q[0],q[1]; cx q[1],q[2]; cx q[2],q[3]; cx q[3],q[4]; measure q -> c;',
    'Random Entanglement': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; h q[0]; h q[1]; h q[2]; h q[3]; cx q[0],q[1]; rz(0.3) q[1]; cx q[2],q[3]; ry(0.7) q[3]; cx q[1],q[2]; measure q -> c;',
    'HP Lattice 3-mer (6q)': '''include "qelib1.inc";
// HP Lattice 3-mer: HHP
// 2 turn angles * 2 qubit + 2 ancilla
qreg q[6];
creg c[6];
h q[0]; h q[1]; h q[2]; h q[3];
cx q[0],q[1]; cx q[2],q[3];
rz(0.785) q[1]; rz(-0.392) q[3];
cx q[0],q[1]; cx q[2],q[3];
cx q[1],q[4]; cx q[3],q[5];
rz(0.5) q[4]; rz(-0.25) q[5];
cx q[1],q[4]; cx q[3],q[5];
h q[4]; h q[5];
measure q->c;''',
    'NH3 Complex (4q)': '''OPENQASM 2.0;
include "qelib1.inc";
qreg q[4];
creg c[4];
// Complex NH3 Ansatz (4-qubit)
// Layer 1
ry(pi/2) q[0];
rz(pi/4) q[1];
ry(pi/2) q[2];
rz(pi/4) q[3];
cx q[0],q[1];
cx q[1],q[2];
cx q[2],q[3];

// Layer 2
ry(0.6) q[0];
rz(0.3) q[1];
ry(0.9) q[2];
rz(0.5) q[3];
cx q[3],q[2];
cx q[2],q[1];
cx q[1],q[0];

// Layer 3
ry(0.1) q[0];
rz(0.8) q[1];
ry(0.4) q[2];
rz(0.7) q[3];
cx q[0],q[2];
cx q[1],q[3];

// Layer 4 (Final Rotations)
ry(0.2) q[0];
rz(0.5) q[1];
ry(0.3) q[2];
rz(0.6) q[3];

measure q -> c;''',
    'Amplitude Estimation (Finance)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[3]; h q[0]; h q[1]; h q[2]; ry(pi/4) q[3]; cp(pi/2) q[2],q[3]; cp(pi) q[1],q[3]; h q[0]; cp(-pi/2) q[0],q[1]; h q[1]; cp(-pi/4) q[0],q[2]; cp(-pi/2) q[1],q[2]; h q[2]; measure q[0:2] -> c;',
    'VQE Water (FORCE)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[10]; creg c[10]; h q[0]; h q[1]; h q[2]; h q[3]; ry(0.5) q[0]; ry(1.0) q[1]; ry(1.5) q[2]; ry(2.0) q[3]; cx q[0],q[1]; cx q[2],q[3]; measure q -> c;',
    'VQE LiH Ansatz': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; x q[0]; x q[1]; ry(0.15) q[0]; ry(0.15) q[1]; cx q[0],q[2]; cx q[1],q[3]; ry(0.05) q[2]; ry(0.05) q[3]; measure q -> c;',
    'QFT 8q Safe-Scan': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[8]; creg c[8]; h q[0]; h q[1]; h q[2]; h q[3]; cp(pi/2) q[0],q[1]; cp(pi/4) q[1],q[2]; cp(pi/8) q[2],q[3]; h q[4]; h q[5]; h q[6]; h q[7]; measure q -> c;',
    'HHL Matrix Inversion': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[2]; h q[1]; h q[2]; cp(pi/2) q[1],q[3]; cp(pi) q[2],q[3]; ch q[1],q[0]; ch q[2],q[0]; measure q[1:2] -> c;',
    'QAOA Max-Cut 4q (Pro)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; h q[0]; h q[1]; h q[2]; h q[3]; cx q[0],q[1]; rz(1.57) q[1]; cx q[0],q[1]; cx q[2],q[3]; rz(1.57) q[3]; cx q[2],q[3]; rx(0.78) q[0]; rx(0.78) q[1]; rx(0.78) q[2]; rx(0.78) q[3]; measure q -> c;',
    'QML ZZ-FeatureMap': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[2]; creg c[2]; h q[0]; h q[1]; rz(0.5) q[0]; rz(1.2) q[1]; cx q[0],q[1]; rz(0.6) q[1]; cx q[0],q[1]; ry(0.2) q[0]; ry(0.2) q[1]; measure q -> c;',
    'QPE Precision 5q': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[5]; creg c[4]; h q[0]; h q[1]; h q[2]; h q[3]; x q[4]; cp(pi/8) q[0],q[4]; cp(pi/4) q[1],q[4]; cp(pi/2) q[2],q[4]; cp(pi) q[3],q[4]; h q[0]; cp(-pi/2) q[0],q[1]; h q[1]; measure q[0:3] -> c;',
    'Interference Stress Test': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; h q[0]; ry(0.9) q[1]; cx q[0],q[1]; rz(1.3) q[1]; h q[0]; measure q -> c;',
    'Shor 15 (Simplified)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[8]; creg c[8]; h q[0:3]; x q[4]; cx q[2],q[5]; cx q[2],q[6]; h q[0:3]; measure q -> c;',
    'Ising Model Simulation': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; h q[0]; h q[1]; rz(0.5) q[0]; cx q[0],q[1]; rz(0.3) q[1]; cx q[1],q[0]; measure q -> c;',
    'Grover 4-item Search': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[2]; creg c[2]; h q[0]; h q[1]; x q[1]; h q[1]; cx q[0],q[1]; h q[1]; x q[1]; h q[0]; h q[1]; x q[0]; x q[1]; h q[1]; cx q[0],q[1]; h q[1]; x q[0]; x q[1]; h q[0]; h q[1]; measure q -> c;',
    'VQE Water (H2O) 6q': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[6]; creg c[6]; x q[0]; x q[1]; ry(0.1) q[0]; ry(0.1) q[1]; cx q[0],q[2]; cx q[1],q[3]; cx q[2],q[4]; cx q[3],q[5]; measure q -> c;',
    'Quantum Key Distribution': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[2]; creg c[2]; h q[0]; cx q[0],q[1]; h q[0]; h q[1]; measure q -> c;',
    'QFT 8 qubit High-Res': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[8]; creg c[8]; h q[7]; cp(pi/2) q[6],q[7]; cp(pi/4) q[5],q[7]; cp(pi/8) q[4],q[7]; h q[6]; cp(pi/2) q[5],q[6]; measure q -> c;',
    'Quantum Walk FORCE': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; h q[0]; h q[1]; h q[2]; cx q[0],q[1]; ccx q[1],q[2],q[3]; rz(1.5) q[3]; measure q -> c;',
    'Error Mitigation (Real-Stress)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[15]; creg c[15]; h q[0]; cx q[0],q[1]; rz(0.45) q[1]; cx q[0],q[1]; rz(0.45) q[1]; cx q[0],q[1]; h q[0]; measure q -> c;',
    'Thermalizer VQT': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; ry(0.4) q[0]; ry(0.8) q[1]; ry(1.2) q[2]; ry(1.6) q[3]; cx q[0],q[1]; cx q[2],q[3]; measure q -> c;',
    'Ising Spectrum (Multi-Color)': 'OPENQASM 2.0; include "qelib1.inc"; qreg q[4]; creg c[4]; h q[0]; ry(0.8) q[1]; cx q[0],q[1]; rz(pi/4) q[0]; h q[2]; cx q[1],q[2]; measure q -> c;',
    'NH3 Simplified (4q)': '''OPENQASM 2.0;
include "qelib1.inc";
qreg q[4];
creg c[4];
// Simplified NH3 VQE-like ansatz
ry(pi/2) q[0];
rz(pi/4) q[1];
ry(pi/2) q[2];
rz(pi/4) q[3];
cx q[0],q[1];
cx q[1],q[2];
cx q[2],q[3];
ry(0.5) q[0];
rz(0.3) q[1];
ry(0.7) q[2];
rz(0.4) q[3];
cx q[0],q[1];
cx q[1],q[2];
cx q[2],q[3];
measure q -> c;''',
    'Beta-sheet pattern detector (5q)': '''OPENQASM 2.0;
include "qelib1.inc";
// Beta-sheet pattern detector
// Sheet residues: V(19),I(9),F(13),Y(18),W(17)
qreg q[5];
creg c[5];
h q[0]; h q[1]; h q[2]; h q[3]; h q[4];
x q[0]; x q[2];
cx q[0],q[4]; cx q[2],q[4];
rz(0.785) q[4];
cx q[0],q[4]; cx q[2],q[4];
x q[0]; x q[2];
h q[0]; h q[1]; h q[2]; h q[3]; h q[4];
x q[0]; x q[1]; x q[2]; x q[3]; x q[4];
cx q[0],q[4]; cx q[1],q[4];
x q[0]; x q[1]; x q[2]; x q[3]; x q[4];
h q[0]; h q[1]; h q[2]; h q[3]; h q[4];
measure q->c;''',
}


def infer_qubit_count_from_qasm(qasm_text: str):
    """Cheap qubit-count guess from raw QASM text (regex on `qreg q[N]`),
    used only to pre-filter the Hamiltonian-compatibility dropdown in the UI
    before a circuit actually runs. The real, authoritative qubit count
    always comes from run_simulation()'s res['n_qubits'] (full QASM parse);
    this is not used for execution. Returns None if no qreg declaration is found."""
    import re
    match = re.search(r'qreg\s+\w+\s*\[\s*(\d+)\s*\]', qasm_text or '')
    return int(match.group(1)) if match else None