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Circuit-to-adiabatic simulation
Statement
Let a uniform circuit have data qubits and gates, each on at most two data qubits. For rational , set and . The construction in Five-local history-state adiabatic path is a five-local finite Hermitian path with a product initial ground state, a unique ground state along the path, gap greater than , derivative bound , and . If its term-time providers supply every call required by Discretized adiabatic path simulation schedule with the requested certified error at polynomial cost, and coefficient evaluations and output operations also have polynomial cost, the initial ground state can be evolved and the clock discarded to produce a data state at trace distance at most from the circuit output, using continuous evolution time and polynomially many charged term calls, gates, coefficient bits and generator steps. The initial preparation cost, local term access costs, precision costs and output costs are recorded separately by Adiabatic path access and resource model.
Facts & Assumptions
Given: The uniformly described circuit, its explicitly supplied all-zero preparation, rational , and declared polynomial-cost term and coefficient providers for the path.
The five-local path is defined in Five-local history-state adiabatic path, with explicit initial preparation and term access coordinates in Adiabatic path access and resource model.
Its final history state has data marginal within of the circuit output (History state and padded output).
The full path has a unique ground state and gap greater than , with (Full-space history-path gap).
The finite-rank JRS bound controls the projector error by (Finite JRS adiabatic projector bound).
Partial trace contracts trace distance (Partial trace contracts trace distance); for pure states trace distance equals the square root of one minus squared overlap (Pure state trace distance).
The proved path simulator supplies an access schedule with the requested operator error and charges the declared access and preparation costs; circuit-family providers compile to a circuit family under the stated polynomial-generation condition, while named-oracle calls retain their query charges (Finite adiabatic path simulation from term access).
Trace norm satisfies the triangle inequality, so trace distance satisfies it on density operators (Trace Norm Duality And Norm Properties, Trace Distance).
Proof
Write . The common and terms cancel in , leaving , so from the term bounds, and . By [F3], the full ground gap is at least throughout the path. Each term of is positive semidefinite. A binary string has no adjacent pair exactly when all of its bits precede all of its bits, so vanishes exactly on the legal unary clocks. On those clocks vanishes only at ; at , the input penalty vanishes exactly on . Thus the unique initial ground vector is , whose supplied preparation is included in [F1].
In the rank-one JRS expression from [F4], each endpoint term is at most , and the integral term is at most because . Put Then . Since , we have and . Also and for , , giving the stated bound.
Let be the ideal evolved unit vector and the final ground vector. The JRS projector estimate gives . For rank-one projections the operator norm of their difference equals their trace distance: on the span of the two vectors the difference has eigenvalues , and it vanishes on the orthogonal complement. Thus their full-register trace distance is at most .
Run the proved simulator [F6] with tolerance and execute its schedule on the supplied initial vector. If is the resulting unit vector, operator-norm error gives . Put . By [F5], the pure-state trace distance squared is , so it is at most . By partial-trace contractivity, tracing out the clock does not increase either this error or the adiabatic error in step 3.1.
The data marginal of is within of the target circuit output by [F2]. By [F7], the triangle inequality for trace distance, steps 3.1–4.1, and the padding estimate give total output distance at most .
The term list has terms: input projectors, clock-potential projectors, propagation terms, and clock-penalty projectors. Each has norm at most by the local block calculation in the proof of the full-gap lemma and the projection form of the other terms. Set the certified derivative bound to . The coefficient functions are the constants , , and the affine functions and ; at rational grid points they are exactly computable rationals, so take zero coefficient error. For every sample, each coefficient has magnitude at most and each term norm is at most , whence ; use the finite rational certificate . The value of is polynomial in , so and all coefficient encodings have polynomial bit length. With and , the grid count is polynomial. Since , the product-formula count is polynomial as well. Thus [F6] executes finitely many, polynomially many term calls, and by hypothesis their requested-error providers, coefficient procedures and output operation have polynomial charged cost. Preparation cost, queries, gates, ancillas, coefficient precision, circuit-description bits and generator time are all separately recorded; no spectral projector is used to prepare the initial state.
Depends on
- Five-local history-state adiabatic path
- Discretized adiabatic path simulation schedule
- Adiabatic path access and resource model
- History state and padded output
- Full-space history-path gap
- Finite JRS adiabatic projector bound
- Finite adiabatic path simulation from term access
- Partial trace contracts trace distance
- Trace Norm Duality And Norm Properties
- Pure state trace distance
- Trace Distance
- Partial trace over a finite tensor factor
- Full-list uniform quantum circuit family
- Circuit-family and computation cost model
Used by
Nothing in the library uses this result yet.
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Sources
- Dorit Aharonov, Wim van Dam, Julia Kempe, Zeph Landau, Seth Lloyd, and Oded Regev, Adiabatic Computation is Equivalent to Standard Quantum Computation (standard reference, not scraped)
- Sabine Jansen, Mary-Beth Ruskai, and Ruedi Seiler, Bounds for the adiabatic approximation with applications to quantum computation (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (standard reference, not scraped)