Comparison of unknown unitary channels with multiple uses
- URL: http://arxiv.org/abs/2208.12519v1
- Date: Fri, 26 Aug 2022 09:25:00 GMT
- Title: Comparison of unknown unitary channels with multiple uses
- Authors: Yutaka Hashimoto, Akihito Soeda, Mio Murao
- Abstract summary: In general, repeated uses of quantum objects improve the success probability of comparison.
The optimal strategy of pure-state comparison, the comparison of quantum states for the case of multiple copies of each unknown pure state, is known.
But the optimal strategy of unitary comparison, the comparison of quantum channels for the case of multiple uses of each unknown unitary channel, was not known.
- Score: 4.511923587827301
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Comparison of quantum objects is a task to determine whether two unknown
quantum objects are the same or different. It is one of the most basic
information processing tasks for learning property of quantum objects, and
comparison of quantum states, quantum channels, and quantum measurements have
been investigated. In general, repeated uses of quantum objects improve the
success probability of comparison. The optimal strategy of pure-state
comparison, the comparison of quantum states for the case of multiple copies of
each unknown pure state, is known, but the optimal strategy of unitary
comparison, the comparison of quantum channels for the case of multiple uses of
each unknown unitary channel, was not known due to the complication of the
varieties of causal order structures among the uses of each unitary channel. In
this paper, we investigate unitary comparison with multiple uses of unitary
channels based on the quantum tester formalism. We obtain the optimal
minimum-error and the optimal unambiguous strategies of unitary comparison of
two unknown $d$-dimensional unitary channels $U_1$ and $U_2$ when $U_1$ can be
used $N_1$ times and $U_2$ can be used $N_2$ times for $N_2 \ge (d-1)N_1$.
These optimal strategies are implemented by parallel uses of the unitary
channels, even though all sequential and adaptive strategies implementable by
the quantum circuit model are considered. When the number of the smaller uses
of the unitary channels $N_1$ is fixed, the optimal averaged success
probability cannot be improved by adding more uses of $U_2$ than $N_2 = (d-1)
N_1$. This feature is in contrast to the case of pure-state comparison, where
adding more copies of the unknown pure states always improves the optimal
averaged success probability. It highlights the difference between
corresponding tasks for states and channels, which has been previously shown
for quantum discrimination tasks.
Related papers
- Shallow quantum circuit for generating O(1)-entangled approximate state designs [6.161617062225404]
We find a new ensemble of quantum states that serve as an $epsilon$-approximate state $t$-design while possessing extremely low entanglement, magic, and coherence.<n>These resources can reach their theoretical lower bounds, $Omega(log (t/epsilon))$, which are also proven in this work.<n>A class of quantum circuits proposed in our work offers reduced cost for classical simulation of random quantum states.
arXiv Detail & Related papers (2025-07-23T18:56:19Z) - Quantum Advantage in Storage and Retrieval of Isometry Channels [0.8192907805418581]
We analyze the performance of the classical and quantum strategies for the storage and retrieval of isometry channels.<n>We propose a more efficient quantum strategy based on port-based teleportation, which stores the isometry channel in a program state.
arXiv Detail & Related papers (2025-07-14T20:18:12Z) - Purest Quantum State Identification [13.974066377698044]
We design methods for identifying the purest one within $K$ unknown $n$-qubit quantum states using $N$ samples.
This framework provides concrete design principles for overcoming sampling bottlenecks in quantum technologies.
arXiv Detail & Related papers (2025-02-20T07:42:16Z) - Towards large-scale quantum optimization solvers with few qubits [59.63282173947468]
We introduce a variational quantum solver for optimizations over $m=mathcalO(nk)$ binary variables using only $n$ qubits, with tunable $k>1$.
We analytically prove that the specific qubit-efficient encoding brings in a super-polynomial mitigation of barren plateaus as a built-in feature.
arXiv Detail & Related papers (2024-01-17T18:59:38Z) - Mind the $\tilde{\mathcal{O}}$: Asymptotically Better, but Still
Impractical, Quantum Distributed Algorithms [0.0]
We present two algorithms in the Quantum CONGEST-CLIQUE model of distributed computation that succeed with high probability.
The algorithms achieve a lower round and message complexity than any known algorithms in the classical CONGEST-CLIQUE model.
An existing framework for using distributed version of Grover's search algorithm to accelerate triangle finding lies at the core of the speedup.
arXiv Detail & Related papers (2023-04-06T02:18:52Z) - A single $T$-gate makes distribution learning hard [56.045224655472865]
This work provides an extensive characterization of the learnability of the output distributions of local quantum circuits.
We show that for a wide variety of the most practically relevant learning algorithms -- including hybrid-quantum classical algorithms -- even the generative modelling problem associated with depth $d=omega(log(n))$ Clifford circuits is hard.
arXiv Detail & Related papers (2022-07-07T08:04:15Z) - Quantum Goemans-Williamson Algorithm with the Hadamard Test and
Approximate Amplitude Constraints [62.72309460291971]
We introduce a variational quantum algorithm for Goemans-Williamson algorithm that uses only $n+1$ qubits.
Efficient optimization is achieved by encoding the objective matrix as a properly parameterized unitary conditioned on an auxilary qubit.
We demonstrate the effectiveness of our protocol by devising an efficient quantum implementation of the Goemans-Williamson algorithm for various NP-hard problems.
arXiv Detail & Related papers (2022-06-30T03:15:23Z) - Quantum Approximation of Normalized Schatten Norms and Applications to
Learning [0.0]
This paper addresses the problem of defining a similarity measure for quantum operations that can be textitefficiently estimated
We develop a quantum sampling circuit to estimate the normalized Schatten 2-norm of their difference and prove a Poly$(frac1epsilon)$ upper bound on the sample complexity.
We then show that such a similarity metric is directly related to a functional definition of similarity of unitary operations using the conventional fidelity metric of quantum states.
arXiv Detail & Related papers (2022-06-23T07:12:10Z) - Quantum Resources Required to Block-Encode a Matrix of Classical Data [56.508135743727934]
We provide circuit-level implementations and resource estimates for several methods of block-encoding a dense $Ntimes N$ matrix of classical data to precision $epsilon$.
We examine resource tradeoffs between the different approaches and explore implementations of two separate models of quantum random access memory (QRAM)
Our results go beyond simple query complexity and provide a clear picture into the resource costs when large amounts of classical data are assumed to be accessible to quantum algorithms.
arXiv Detail & Related papers (2022-06-07T18:00:01Z) - Entanglement and coherence in Bernstein-Vazirani algorithm [58.720142291102135]
Bernstein-Vazirani algorithm allows one to determine a bit string encoded into an oracle.
We analyze in detail the quantum resources in the Bernstein-Vazirani algorithm.
We show that in the absence of entanglement, the performance of the algorithm is directly related to the amount of quantum coherence in the initial state.
arXiv Detail & Related papers (2022-05-26T20:32:36Z) - Multi-state Swap Test Algorithm [2.709321785404766]
Estimating the overlap between two states is an important task with several applications in quantum information.
We design a quantum circuit to measure overlaps of multiple quantum states.
arXiv Detail & Related papers (2022-05-15T03:31:57Z) - Quantum State Preparation with Optimal Circuit Depth: Implementations
and Applications [10.436969366019015]
We show that any $Theta(n)$-depth circuit can be prepared with a $Theta(log(nd)) with $O(ndlog d)$ ancillary qubits.
We discuss applications of the results in different quantum computing tasks, such as Hamiltonian simulation, solving linear systems of equations, and realizing quantum random access memories.
arXiv Detail & Related papers (2022-01-27T13:16:30Z) - Efficient Verification of Anticoncentrated Quantum States [0.38073142980733]
I present a novel method for estimating the fidelity $F(mu,tau)$ between a preparable quantum state $mu$ and a classically specified target state $tau$.
I also present a more sophisticated version of the method, which uses any efficiently preparable and well-characterized quantum state as an importance sampler.
arXiv Detail & Related papers (2020-12-15T18:01:11Z) - Quantum Gram-Schmidt Processes and Their Application to Efficient State
Read-out for Quantum Algorithms [87.04438831673063]
We present an efficient read-out protocol that yields the classical vector form of the generated state.
Our protocol suits the case that the output state lies in the row space of the input matrix.
One of our technical tools is an efficient quantum algorithm for performing the Gram-Schmidt orthonormal procedure.
arXiv Detail & Related papers (2020-04-14T11:05:26Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.