For an arbitrary vector , the preceding positive quadratic forms show that zero energy requires
Thus all its clock components are generated by one correctly initialized input. If
then consists of , with unrestricted quantum witness . Normalization gives the computational history state
Conversely, every such computational history state annihilates every propagation term and the input term, hence has zero energy. These states are exactly the ground space, not merely examples of its vectors. In particular, histories of computational basis quantum witnesses span the ground space; their coherent superpositions are also zero-energy states.
Another way to see the propagation constraint is to conjugate by . Then , where
The spectrum of a path propagation Hamiltonian has a unique uniform clock zero mode. This is the path with vertices. The upper summation index in the printed auxiliary formula must be , rather than , to agree with its stated dimension and spectrum; using would introduce an extra vertex.
For a normalized computational history state, the output projector sees only its final clock component. With the quantum circuit's acceptance probability,
This proves the hint, including for a computational basis quantum witness. Moreover is a stoquastic Hamiltonian term, so adding it with positive coefficient preserves stoquasticity.
There are two substantive problems with the stated promise. First, for any basis quantum witness the initialized state has nonnegative amplitudes, and every permutation matrix preserves them. Write the output as , with both vectors entrywise nonnegative. Then
The stoquastic acceptance floor rules out the printed one-third soundness condition. There are no NO instances of that literal promise. Second, the ground space includes histories of arbitrary quantum witnesses. It is the maximum over those quantum witnesses, not the maximum over basis quantum witnesses, that determines the lowest output energy. Even the identity quantum circuit accepts each basis input with probability , but accepts a quantum witness with probability one. Thus a basis-witness soundness bound would not control this Hamiltonian, even if its numerical threshold were repaired.
The requested nontrivial hardness statement therefore needs the standard quantum-witness StoqMA promise, with and inverse-polynomial gap . The intended reduction can be completed precisely under that corrected promise. Define the quantum witness embedding and the witness acceptance operator
It is a positive contraction, and . The minimum expectation of on the history ground space is . This is also consistent with a nonnegative optimal StoqMA quantum witness: is entrywise nonnegative, so replacing amplitudes by their absolute values cannot decrease its quadratic form.
A uniform ground-space perturbation bound is needed because the gap shrinks with quantum circuit length. Put , and choose a positive inverse-polynomial coefficient
For the history ground projector and any unit vector with , the operator norm bound gives
The last inequality completes the square in and uses . Testing a ground space minimizing vector gives the upper bound . Since , we obtain
YES instances of the corrected promise have energy at most ; NO instances have energy at least
The separation is at least , an inverse polynomial. The quantum circuit and all these Hamiltonian terms have polynomial-size descriptions. This proves StoqMA hardness for the local Hamiltonian problem variant that permits the nonlocal clock, under the corrected quantum witness and acceptance promise.
The printed perturbation formula also has where a general perturbation belongs. Its unspecified cannot be treated as uniform in a closing gap. Likewise a circuit-length-independent constant cannot in general satisfy the stated small-perturbation requirement for an arbitrary long quantum circuit. The explicit bound above avoids both issues; it does not claim the defective literal promise defines standard StoqMA.
The useful object is the Choi state of the entanglement-breaking channel. Put , introduce a reference with the same computational basis as , and use the normalized maximally entangled state
The entanglement-breaking channel makes a separable quantum state. Its partial trace is , because is a quantum channel. Write a separable positive operator decomposition
Discard any term with : a positive operator with zero trace is zero. Define
Each is a density operator. Each is a positive operator, and taking the matrix transpose of the partial trace identity gives
Thus the form a POVM. In this reference-first convention, the Choi reconstruction formula is
The factor is essential because we used a normalized Choi state. A measurement channel storing the outcome , followed by the prescribed quantum state preparation of , has precisely this action on every linear operator . The desired factorization is therefore
In the computational basis ordered as , the Hermitian matrix is
Its trace is one, and its eigenvalues are , , , and . Thus the remaining density operator condition, positivity, holds exactly when both nonzero candidates are nonnegative:
This is the admissible parameter interval for the dephased Bell-state mixture.
The coefficient matrix in the computational basis is
For a bipartite pure state, the partial traces give and . Therefore the requested reduced density matrices are
The columns of are orthogonal. Their norms are and , so normalizing them gives the orthonormal set
With and , a Schmidt decomposition is
Expanding this expression reproduces the minus sign in the coefficient. The two reduced density matrices both have eigenvalues and , consistent with these Schmidt coefficients.
Choose uniform on and zero outside it, so the marginal density operator of is . Define the binary test for quantum decoding success by
Each is a positive contraction. The computational basis blocks of are these effects on and zero elsewhere. Thus , making a POVM on the whole space, including labels outside .
On the correlated classical-quantum state, its acceptance probability is
On the product of the marginal density operators,
since . The two requested probabilities are therefore and . In the notation for binary output density operators, the measurement channel sends the joint input to and the product input to ; their parameters describe outcome one, not outcome zero.
Interpret a function collision as two distinct inputs with equal outputs. Without distinctness the request is vacuous, since an input paired with itself always qualifies. Set (handling small by direct queries), choose a known set of size , and query all its inputs. Store a classical table of their outputs and corresponding inputs. If this table contains a function collision, return it immediately.
Otherwise the table contains distinct outputs. Because is exactly two-to-one, each has exactly one partner in , the known complement of . None lies in , and different table outputs have different partners. Thus exactly inputs in , of size , satisfy the known-table membership predicate
Build a marked-state phase oracle for this predicate by a compute-phase-uncompute construction: use on a clean answer quantum register, reversibly compare its output against the classical table, apply the conditional minus sign, undo the comparison, and apply again. Since the answer operation is bitwise exclusive or, . All workspace returns to zero, and each phase query costs two calls to .
Perform known-subset Grover search in the span of the computational basis states labelled by , starting in their uniform superposition state. Reflection about this known state uses no queries; choosing as an initial interval makes a known interval that can also be encoded by its own labels. Its marked fraction is , so the previous Grover rotation angle analysis uses phase queries. On measuring , one further query checks the output and retrieves its partner from the table. The inputs are distinct because the two sets are disjoint.
Consequently the quantum query complexity is
For large , rounding the optimal Grover search algorithm iteration count gives success at least . An internal table function collision already gives certain success. The balance explains the cube-root choice. This is the Brassard–Høyer–Tapp collision algorithm: its table uses classical bits. The bound counts calls to , as requested; it does not charge table lookup and its reversible implementation as constant-time gates, or claim an overall polynomial time in .
Label the measured vertex of the four-cycle by , its two neighbours by , and the opposite vertex by . The edges are . By the definition of a graph state,
All Controlled-Z gates commute. Conditioning on the computational basis value of vertex , the factors on edges and act on their other endpoints as and , since . The remaining edges form the three-vertex path :
The Born rule gives probability one half for either result. Normalizing proves
This is computational-basis measurement of a graph-state vertex: remove the measured vertex and apply a known Pauli Z gate byproduct to each neighbour. The chosen labels specify precisely which factors occur; any vertex of the square can serve as vertex by relabelling.
Let the ideal two-qubit output before final quantum measurements be
The PDF places only on the upper wire, followed by the Controlled-Z gate and a quantum measurement in the computational basis on each output wire. Measure vertex of the square in the computational basis, obtaining , then vertex of the surviving path in the fixed equatorial qubit measurement basis at angle , obtaining . Put . The previous part gives .
Commute its Pauli frame through the Controlled-Z gate. Since and commutes with , the actual output is
Finally measure vertices in the computational basis, with raw results . A Pauli X gate flips a computational basis result, whereas a Pauli Z gate changes only its phase. Thus the purely classical correction is
This four-cycle graph-state simulation of an entangle-and-measure circuit reproduces the full joint output distribution, not just each marginal. All measurement bases are fixed beforehand, and no physical byproduct correction is necessary. As a check, the ideal Controlled-Z gate is diagonal in the output basis, so for and for , independently of . The measurement procedure gives exactly these probabilities after its classical relabelling.
The logical depth of a measurement pattern counts sequential layers of quantum measurements forced by dependence of measurement bases on earlier outcomes. Depth one means every basis can be fixed before measurements start, allowing all quantum measurements on distinct qubits to be performed in parallel. This does not require depth-one resource-state preparation or constant-depth classical parity processing.
Suppose the circuit contains gates in time order, with each . Prepare an -vertex path graph state from and Controlled-Z gates between neighbours. Its first qubit supplies the specified input . Measure vertex in the fixed equatorial qubit measurement basis at angle for , obtaining . Measure the final vertex in the computational basis, obtaining .
Track the Pauli frame as , starting with . A hypothetical sequential reading of the same quantum measurements gives the step . The supplied commutation rules imply, up to global phase,
For , the sign is irrelevant. For , the identity absorbs the possible sign change into the Pauli frame. If for and for , the update is
Inductively the final unmeasured quantum state would be . The final computational basis outcome is corrected by and is unaffected by . The induction on a sequential interpretation proves the joint statistics; projectors on distinct vertices commute, so the identical fixed-basis pattern can actually be measured simultaneously, including its final vertex.
The first printed commutation formula has an incorrect exact scalar phase: with the printed matrix definition, , rather than the negative-exponent prefactor. For example, at the two versions differ by a factor . They agree up to global phase, so this error does not affect the Pauli frame recurrence or any quantum measurement probability.
Consequently a fixed-basis path-state pattern of logical depth one simulates every such circuit. Only Pauli measurements occur: the angle-zero basis measures , and the angle- basis measures with the printed eigenvector labels. Classical exclusive or processing suffices for all output corrections. These gates are Clifford gates, which explains why angle adaptation can be eliminated. For , simply measure the initial in the computational basis; it is already a depth-one pattern.
The map is a bijection and an involution, so its permutation matrix satisfies
In particular , which proves that is a unitary operator. Equivalently, it permutes the computational basis and therefore preserves every inner product.
For each position , Alice uses to choose a basis and to choose a vector in that basis. Explicitly, she sends the qubit
Thus uses the computational basis , while uses the Hadamard basis .
This is superdense coding. To send the two classical bits , Alice applies to her half of the shared Bell state , producing , and sends that one qubit to Bob. Bob applies followed by on the first qubit, as in part (i), and measures both qubits in the computational basis. The outcome is with certainty, so one transmitted qubit communicates two classical bits using the previously shared quantum entanglement.
Starting from the -qubit computational basis state , apply one Hadamard gate to every qubit. Since ,
Thus parallel Hadamard gates prepare the uniform quantum superposition.
The Hadamard gate conjugates the Pauli X gate into the Pauli Z gate:
When the control qubit is , all three circuits act as the identity on the target. When it is , the right-hand circuit acts on the target as . It therefore agrees with the Controlled-Z gate on every computational basis state, proving
Conjugating both sides by and using immediately gives the reverse identity
The three controlled-NOT gates have directions , , and . On computational basis bits they act as
By linearity, the whole quantum circuit is the SWAP gate. Therefore
so and .