scholarly journals Non-Markovian memory strength bounds quantum process recoverability

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Philip Taranto ◽  
Felix A. Pollock ◽  
Kavan Modi

AbstractGeneric non-Markovian quantum processes have infinitely long memory, implying an exact description that grows exponentially in complexity with observation time. Here, we present a finite memory ansatz that approximates (or recovers) the true process with errors bounded by the strength of the non-Markovian memory. The introduced memory strength is an operational quantity and depends on the way the process is probed. Remarkably, the recovery error is bounded by the smallest memory strength over all possible probing methods. This allows for an unambiguous and efficient description of non-Markovian phenomena, enabling compression and recovery techniques pivotal to near-term technologies. We highlight the implications of our results by analyzing an exactly solvable model to show that memory truncation is possible even in a highly non-Markovian regime.

2009 ◽  
Vol 16 (01) ◽  
pp. 49-53 ◽  
Author(s):  
Robert Alicki

Using an exactly solvable model of the Wigner-Weisskopf atom, it is shown that an unstable quantum state cannot be recovered completely by the procedure involving detection of the decay products followed by the creation of time-reversed decay products state, as proposed in [1]. The universal lower bound on the recovery error is approximately equal to 5% of the error per cycle — the dimensionless parameter characterizing decay process in the Markovian approximation. This result has consequences for the efficiency of quantum error correction procedures which are based on syndrome measurements and corrective operations.


1979 ◽  
Vol 324 (1) ◽  
pp. 173-181 ◽  
Author(s):  
T. Fliessbach ◽  
P. Manakos

2015 ◽  
Vol 112 (7) ◽  
pp. 1965-1970 ◽  
Author(s):  
John P. Barton ◽  
Mehran Kardar ◽  
Arup K. Chakraborty

The enormous genetic diversity and mutability of HIV has prevented effective control of this virus by natural immune responses or vaccination. Evolution of the circulating HIV population has thus occurred in response to diverse, ultimately ineffective, immune selection pressures that randomly change from host to host. We show that the interplay between the diversity of human immune responses and the ways that HIV mutates to evade them results in distinct sets of sequences defined by similar collectively coupled mutations. Scaling laws that relate these sets of sequences resemble those observed in linguistics and other branches of inquiry, and dynamics reminiscent of neural networks are observed. Like neural networks that store memories of past stimulation, the circulating HIV population stores memories of host–pathogen combat won by the virus. We describe an exactly solvable model that captures the main qualitative features of the sets of sequences and a simple mechanistic model for the origin of the observed scaling laws. Our results define collective mutational pathways used by HIV to evade human immune responses, which could guide vaccine design.


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