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Dive into the research topics where Carlo Piermarocchi is active.

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Featured researches published by Carlo Piermarocchi.


Physical Review B | 2004

Theory of quantum optical control of a single spin in a quantum dot

Po-Chung Chen; Carlo Piermarocchi; L. J. Sham; D. Gammon; Duncan G. Steel

We present a theory of quantum optical control of an electron spin in a single semiconductor quantum dot via spin-flip Raman transitions. We show how an arbitrary spin rotation may be achieved by virtual excitation of discrete or continuum trion states. The basic physics issues of the appropriate adiabatic optical pulses in a static magnetic field to perform the single-qubit operation are addressed.


Wiley Interdisciplinary Reviews: Systems Biology and Medicine | 2010

Systems approaches and algorithms for discovery of combinatorial therapies

Jacob D. Feala; Jorge Cortés; Phillip M. Duxbury; Carlo Piermarocchi; Andrew D. McCulloch; Giovanni Paternostro

Effective therapy of complex diseases requires control of highly nonlinear complex networks that remain incompletely characterized. In particular, drug intervention can be seen as control of cellular network activity. Identification of control parameters presents an extreme challenge due to the combinatorial explosion of control possibilities in combination therapy and to the incomplete knowledge of the systems biology of cells. In this review paper, we describe the main current and proposed approaches to the design of combinatorial therapies, including the heuristic methods used now by clinicians and alternative approaches suggested recently by several authors. New approaches for designing combinations arising from systems biology are described. We discuss in special detail the design of algorithms that identify optimal control parameters in cellular networks based on a quantitative characterization of control landscapes, maximizing utilization of incomplete knowledge of the state and structure of intracellular networks. The use of new technology for high‐throughput measurements is key to these new approaches to combination therapy and essential for the characterization of control landscapes and implementation of the algorithms. Combinatorial optimization in medical therapy is also compared with the combinatorial optimization of engineering and materials science and similarities and differences are delineated. Copyright


Physical Review B | 2005

Decoherence processes during optical manipulation of excitonic qubits in semiconductor quantum dots

Qu-Quan Wang; Andreas Muller; Pablo Bianucci; Enrico Rossi; Qi-Kun Xue; Toshihide Takagahara; Carlo Piermarocchi; A. H. MacDonald; Chih-Kang Shih

Using photoluminescence spectroscopy, we have investigated the nature of Rabi oscillation damping during optical manipulation of excitonic qubits in self-assembled quantum dots. Rabi oscillations were recorded by varying the pulse amplitude for fixed pulse durations between 4 ps and 10 ps. Up to five periods are visible, making it possible to quantify the excitation dependent damping. We find that this damping is more pronounced for shorter pulse widths and show that its origin is the nonresonant excitation of carriers in the wetting layer, most likely involving bound-to-continuum and continuum-to-bound transitions.


PLOS ONE | 2013

Metabolomics of the Tumor Microenvironment in Pediatric Acute Lymphoblastic Leukemia

Stefano Tiziani; Yunyi Kang; Ricky Harjanto; Joshua Axelrod; Carlo Piermarocchi; William Roberts; Giovanni Paternostro

The tumor microenvironment is emerging as an important therapeutic target. Most studies, however, are focused on the protein components, and relatively little is known of how the microenvironmental metabolome might influence tumor survival. In this study, we examined the metabolic profiles of paired bone marrow (BM) and peripheral blood (PB) samples from 10 children with acute lymphoblastic leukemia (ALL). BM and PB samples from the same patient were collected at the time of diagnosis and after 29 days of induction therapy, at which point all patients were in remission. We employed two analytical platforms, high-resolution magnetic resonance spectroscopy and gas chromatography-mass spectrometry, to identify and quantify 102 metabolites in the BM and PB. Standard ALL therapy, which includes l-asparaginase, completely removed circulating asparagine, but not glutamine. Statistical analyses of metabolite correlations and network reconstructions showed that the untreated BM microenvironment was characterized by a significant network-level signature: a cluster of highly correlated lipids and metabolites involved in lipid metabolism (p<0.006). In contrast, the strongest correlations in the BM upon remission were observed among amino acid metabolites and derivatives (p<9.2×10-10). This study provides evidence that metabolic characterization of the cancer niche could generate new hypotheses for the development of cancer therapies.


Physical Review B | 2005

Laser-controlled local magnetic field with semiconductor quantum rings

Yuriy V. Pershin; Carlo Piermarocchi

We analyze theoretically the dynamics of


PLOS ONE | 2007

Selective control of the apoptosis signaling network in heterogeneous cell populations.

Diego Calzolari; Giovanni Paternostro; Patrick L. Harrington; Carlo Piermarocchi; Phillip M. Duxbury

N


Physical Review B | 2005

Persistent and Radiation-Induced Currents in Distorted Quantum Rings

Yuriy V. Pershin; Carlo Piermarocchi

electrons localized in a narrow semiconductor quantum ring under a train of phase-locked infrared laser pulses. The pulse sequence is designed to control the total angular momentum of the electrons. The quantum ring can be put in states characterized by strong currents. The local magnetic field created by these currents can be used for a selective quantum control of single spins in semiconductor systems. The current generation in quantum rings with finite width is also studied.


Physical Review Letters | 1999

ELECTRON-HOLE CORRELATION EFFECTS IN THE EMISSION OF LIGHT FROM QUANTUM WIRES

F. Tassone; Carlo Piermarocchi

Background Selective control in a population is the ability to control a member of the population while leaving the other members relatively unaffected. The concept of selective control is developed using cell death or apoptosis in heterogeneous cell populations as an example. Control of apoptosis is essential in a variety of therapeutic environments, including cancer where cancer cell death is a desired outcome and Alzheimers disease where neuron survival is the desired outcome. However, in both cases these responses must occur with minimal response in other cells exposed to treatment; that is, the response must be selective. Methodology and Principal Findings Apoptosis signaling in heterogeneous cells is described by an ensemble of gene networks with identical topology but different link strengths. Selective control depends on the statistics of signaling in the ensemble of networks, and we analyze the effects of superposition, non-linearity and feedback on these statistics. Parallel pathways promote normal statistics while series pathways promote skew distributions, which in the most extreme cases become log-normal. We also show that feedback and non-linearity can produce bimodal signaling statistics, as can discreteness and non-linearity. Two methods for optimizing selective control are presented. The first is an exhaustive search method and the second is a linear programming based approach. Though control of a single gene in the signaling network yields little selectivity, control of a few genes typically yields higher levels of selectivity. The statistics of gene combinations susceptible to selective control in heterogeneous apoptosis networks is studied and is used to identify general control strategies. Conclusions and Significance We have explored two methods for the study of selectivity in cell populations. The first is an exhaustive search method limited to three node perturbations. The second is an effective linear model, based on interpolation of single node sensitivity, in which the selective combinations can be found by linear programming optimization. We found that selectivity is promoted by acting on the least sensitive nodes in the case of weak populations, while selective control of robust populations is optimized through perturbations of more sensitive nodes. High throughput experiments with heterogeneous cell lines could be designed in an analogous manner, with the further possibility of incorporating the selectivity optimization process into a closed-loop control system.


Physical Review Letters | 2009

Femtosecond coherent control of spins in (Ga,Mn)As ferromagnetic semiconductors using light.

M. D. Kapetanakis; I. E. Perakis; K. J. Wickey; Carlo Piermarocchi; Jigang Wang

Persistent and radiation-induced currents in distorted narrow quantum rings are theoretically investigated. We show that ring distorsions can be described using a geometrical potential term. We analyze the effect of this term on the current induced by a magnetic flux (persistent current) and by a polarized coherent electromagnetic field (radiation-induced current). The strongest effects in persistent currents are observed for distorted rings with a small number of electrons. The distortion smoothes the current oscillations as a function of the magnetic flux and changes the temperature dependence of the current amplitude. For radiation-induced currents, the distortion induces an ac component in the current and affects its dependence on the radiation frequency and intensity.


Physical Review B | 2005

Photovoltaic effect in bent quantum wires in the ballistic transport regime

Yuriy V. Pershin; Carlo Piermarocchi

We present a self-consistent treatment of the electron-hole correlations in optically excited quantum wires within the ladder approximation, and using a contact potential interaction. The limitations of the ladder approximation to the excitonic low-density region are largely overcome by the introduction of higher order correlations through self consistency. We show relevance of these correlations in the low-temperature emission, even for high density relevant in lasing, when large gain replaces excitonic absorption.

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Yuriy V. Pershin

University of South Carolina

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Michael Moore

Michigan State University

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B. Shanker

Michigan State University

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Chih-Kang Shih

University of Texas at Austin

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Connor Glosser

Michigan State University

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G. F. Quinteiro

University of Buenos Aires

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Andreas Muller

University of South Florida

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Anthony Szedlak

Michigan State University

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Kaijie Xu

Michigan State University

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