Exact dimension estimation of interacting qubit systems assisted by a single quantum probe

Estimating the dimension of an Hilbert space is an important component of quantum system identification. In quantum technologies, the dimension of a quantum system (or its corresponding accessible Hilbert space) is an important resource, as larger dimensions determine e.g. the performance of quantum computation protocols or the sensitivity of quantum sensors. Despite being a critical task in quantum system identification, estimating the Hilbert space dimension is experimentally challenging. While there have been proposals for various dimension witnesses capable of putting a lower bound on the dimension from measuring collective observables that encode correlations, in many practical scenarios, especially for multiqubit systems, the experimental control might not be able to engineer the required initialization, dynamics and observables. Here we propose a more practical strategy, that relies not on directly measuring an unknown multiqubit target system, but on the indirect interaction with a local quantum probe under the experimenter's control. Assuming only that the interaction model is given and the evolution correlates all the qubits with the probe, we combine a graph-theoretical approach and realization theory to demonstrate that the dimension of the Hilbert space can be exactly estimated from the model order of the system. We further analyze the robustness in the presence of background noise of the proposed estimation method based on realization theory, finding that despite stringent constrains on the allowed noise level, exact dimension estimation can still be achieved.

[1]  M S Kim,et al.  Hamiltonian tomography in an access-limited setting without state initialization. , 2008, Physical review letters.

[2]  Rodrigo Gallego,et al.  Device-independent tests of classical and quantum dimensions. , 2010, Physical review letters.

[3]  T. V'ertesi,et al.  Bounding the dimension of bipartite quantum systems , 2008, 0812.1572.

[4]  Marc Noy,et al.  Recursively constructible families of graphs , 2004, Adv. Appl. Math..

[5]  Jonathan L. Gross,et al.  Handbook of graph theory , 2007, Discrete mathematics and its applications.

[6]  M. Wolf,et al.  Assessing quantum dimensionality from observable dynamics. , 2009, Physical review letters.

[7]  Paola Cappellaro,et al.  Hamiltonian identifiability assisted by single-probe measurement , 2016, 1609.09446.

[8]  Antonio-José Almeida,et al.  NAT , 2019, Springer Reference Medizin.

[9]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[10]  N. Chisholm,et al.  Magnetic resonance detection of individual proton spins using quantum reporters. , 2014, Physical review letters.

[11]  V. Scarani,et al.  A new device-independent dimension witness and its experimental implementation , 2016, 1606.01602.

[12]  Miguel Navascués,et al.  Dimension witnesses and quantum state discrimination. , 2012, Physical review letters.

[13]  Jun Zhang,et al.  Quantum Hamiltonian identification from measurement time traces. , 2014, Physical review letters.

[14]  Matthias Christandl,et al.  Perfect state transfer in quantum spin networks. , 2004, Physical review letters.

[15]  Andrew G. Glen,et al.  APPL , 2001 .

[16]  R. Carter Lie Groups , 1970, Nature.

[17]  Marcin Pawłowski,et al.  Experimental tests of classical and quantum dimensionality. , 2013, Physical review letters.

[18]  片山 徹 Subspace methods for system identification , 2005 .

[19]  V. Scarani,et al.  Testing the dimension of Hilbert spaces. , 2008, Physical review letters.

[20]  Matthias Christandl,et al.  Lower bound on the dimension of a quantum system given measured data , 2008, 0808.3960.

[21]  Koji Maruyama,et al.  Indirect Hamiltonian identification through a small gateway , 2009, 0903.0612.

[22]  Ian R. Petersen,et al.  A Quantum Hamiltonian Identification Algorithm: Computational Complexity and Error Analysis , 2016, IEEE Transactions on Automatic Control.

[23]  Jun Zhang,et al.  Identification of open quantum systems from observable time traces , 2015, 1503.06918.

[24]  Naoki Yamamoto,et al.  Structure identification and state initialization of spin networks with limited access , 2013 .

[25]  M. Kleinmann,et al.  Bounding the quantum dimension with contextuality , 2013, 1302.2266.

[26]  P. Olver Nonlinear Systems , 2013 .

[27]  M. Murao,et al.  Projective measurement of energy on an ensemble of qubits with unknown frequencies , 2016, 1611.03994.

[28]  B. Schutter,et al.  Minimal state-space realization in linear system theory: an overview , 2000 .

[29]  Thierry Paul,et al.  Quantum computation and quantum information , 2007, Mathematical Structures in Computer Science.

[30]  N. Brunner,et al.  Experimental estimation of the dimension of classical and quantum systems , 2011, Nature Physics.

[31]  Nicolas Brunner,et al.  Testing dimension and nonclassicality in communication networks , 2015, 1505.01736.

[32]  Zhaohui Wei,et al.  On the minimum dimension of a Hilbert space needed to generate a quantum correlation , 2015, Physical review letters.

[33]  Adv , 2019, International Journal of Pediatrics and Adolescent Medicine.

[34]  Paola Cappellaro,et al.  Atomic-Scale Nuclear Spin Imaging Using Quantum-Assisted Sensors in Diamond , 2014, 1407.3134.